Real-time-pcr-handbook

Real-time PCR handbook
Single-tube assays
96- and 384-well plates
384-well TaqMan® Array cards
OpenArray® plates
Commonly used formats for real-time PCR.
Basics of real-time PCR
Experimental design
Plate preparation
Data analysis
Troubleshooting
Digital PCR
1
2
3
4
5
6
Basics of real-time PCR
1
Basics of real-time PCR
1.1
Introduction
2
1.2
Overview of real-time PCR
3
1.3
Overview of real-time PCR components
4
1.4
Real-time PCR analysis technology
6
1.5
Real-time PCR fluorescence detection systems
10
1.6
Melting curve analysis
14
1.7
Passive reference dyes
15
1.8
Contamination prevention
16
1.9
Multiplex real-time PCR
16
1.10 Internal controls and reference genes
18
1.11 Real-time PCR instrument calibration
19
lifetechnologies.com
1
1
Basics of real-time PCR
1.1 Introduction
The polymerase chain reaction (PCR) is one of the most
powerful technologies in molecular biology. Using PCR,
specific sequences within a DNA or cDNA template can be
copied, or “amplified”, many thousand- to a million-fold
using sequence-specific oligonucleotides, heat-stable DNA
polymerase, and thermal cycling. In traditional (endpoint)
PCR, detection and quantification of the amplified
sequence are performed at the end of the reaction after
the last PCR cycle, and involve post-PCR analysis such
as gel electrophoresis and image analysis. In real-time
quantitative PCR (qPCR), PCR product is measured at each
cycle. By monitoring reactions during the exponentialamplification phase of the reaction, users can determine
the initial quantity of the target with great precision.
1
PCR theoretically amplifies DNA exponentially, doubling
the number of target molecules with each amplification
cycle. When it was first developed, scientists reasoned that
the number of cycles and the amount of PCR end-product
could be used to calculate the initial quantity of genetic
material by comparison with a known standard. To address
the need for robust quantification, the technique of realtime quantitative PCR was developed. Currently, endpoint
PCR is used mostly to amplify specific DNA for sequencing,
cloning, and use in other molecular biology techniques.
In real-time PCR, the amount of DNA is measured after
each cycle via fluorescent dyes that yield increasing
fluorescent signal in direct proportion to the number
of PCR product molecules (amplicons) generated. Data
collected in the exponential phase of the reaction yield
quantitative information on the starting quantity of the
amplification target. Fluorescent reporters used in realtime PCR include double-stranded DNA (dsDNA)–binding
dyes, or dye molecules attached to PCR primers or probes
that hybridize with PCR products during amplification.
The change in fluorescence over the course of the reaction
is measured by an instrument that combines thermal
cycling with fluorescent dye scanning capability. By plotting
fluorescence against the cycle number, the real-time PCR
instrument generates an amplification plot that represents
the accumulation of product over the duration of the entire
PCR reaction (Figure 1).
The advantages of real-time PCR include:
• Ability to monitor the progress of the PCR
reaction as it occurs in real time
• Ability to precisely measure the amount
of amplicon at each cycle, which allows
highly accurate quantification of the amount
of starting material in samples
• An increased dynamic range of detection
• Amplification and detection occur in a single
tube, eliminating post-PCR manipulations
Over the past several years, real-time PCR has become
the leading tool for the detection and quantification of DNA
or RNA. Using these techniques, you can achieve precise
detection that is accurate within a 2-fold range, with a
dynamic range of input material covering 6 to 8 orders of
magnitude.
Figure 1. Relative fluorescence vs. cycle number. Amplification plots are created when the fluorescent signal from each sample is plotted against
cycle number; therefore, amplification plots represent the accumulation of product over the duration of the real-time PCR experiment. The samples
used to create the plots in this figure are a dilution series of the target DNA sequence.
2
Basics of real-time PCR
1.2 Overview of real-time PCR
This section provides an overview of the steps involved in
performing real-time PCR. Real-time PCR is a variation
of the standard PCR technique that is commonly used to
quantify DNA or RNA in a sample. Using sequence-specific
primers, the number of copies of a particular DNA or RNA
sequence can be determined. By measuring the amount
of amplified product at each stage during the PCR cycle,
quantification is possible. If a particular sequence (DNA or
RNA) is abundant in the sample, amplification is observed
in earlier cycles; if the sequence is scarce, amplification
is observed in later cycles. Quantification of amplified
product is obtained using fluorescent probes or fluorescent
DNA-binding dyes and real-time PCR instruments that
measure fluorescence while performing the thermal
cycling needed for the PCR reaction.
Two-step qRT-PCR
Real-time PCR steps
One-step qRT-PCR
There are three major steps that make up each cycle in a
real-time PCR reaction. Reactions are generally run for 40
cycles.
1. Denaturation: High-temperature incubation is used to
“melt” double-stranded DNA into single strands and
loosen secondary structure in single-stranded DNA.
The highest temperature that the DNA polymerase
can withstand is typically used (usually 95°C). The
denaturation time can be increased if template GC
content is high.
2. Annealing: During annealing, complementary
sequences have an opportunity to hybridize, so an
appropriate temperature is used that is based on the
calculated melting temperature (Tm) of the primers
(typically 5°C below the Tm of the primer).
3. Extension: At 70–72°C, the activity of the DNA
polymerase is optimal, and primer extension occurs
at rates of up to 100 bases per second. When an
amplicon in real-time PCR is small, this step is often
combined with the annealing step, using 60°C as the
temperature.
Two-step quantitative reverse transcriptase PCR (qRT-PCR)
starts with the reverse transcription of either total RNA or
poly(A) RNA into cDNA using a reverse transcriptase (RT).
This first-strand cDNA synthesis reaction can be primed
using random primers, oligo(dT), or gene-specific primers
(GSPs). To give an equal representation of all targets in
real-time PCR applications and to avoid the 3� bias of
oligo(dT) primers, many researchers use random primers
or a mixture of oligo(dT) and random primers.
The temperature used for cDNA synthesis depends
on the RT enzyme chosen. After reverse transcription,
approximately 10% of the cDNA is transferred to a separate
tube for the real-time PCR reaction.
1
One-step qRT-PCR combines the first-strand cDNA
synthesis reaction and real-time PCR reaction in the
same tube, simplifying reaction setup and reducing the
possibility of contamination. Gene-specific primers (GSP)
are required. This is because using oligo(dT) or random
primers will generate nonspecific products in the one-step
procedure and reduce the amount of product of interest.
lifetechnologies.com
3
Basics of real-time PCR
1.3 Overview of real-time PCR components
1
This section provides an overview of the major reaction
components and parameters involved in real-time PCR
experiments. A more detailed discussion of specific
components like reporter dyes, passive reference dyes, and
uracil DNA glycosylase (UDG) is provided in subsequent
sections of this handbook.
Magnesium concentration
DNA polymerase
Good experimental technique
PCR performance is often related to the thermostable
DNA polymerase, so enzyme selection is critical to
success. One of the main factors affecting PCR specificity
is the fact that Taq DNA polymerase has residual activity
at low temperatures. Primers can anneal nonspecifically
to DNA during reaction setup, allowing the polymerase to
synthesize nonspecific product. The problem of nonspecific
products resulting from mis-priming can be minimized
by using a “hot-start” enzyme. Using a hot-start enzyme
ensures that DNA polymerase is not active during reaction
setup and the initial DNA denaturation step.
Reverse transcriptase
The reverse transcriptase (RT) is as critical to the success
of qRT-PCR as the DNA polymerase. It is important to
choose an RT that not only provides high yields of full-length
cDNA, but also has good activity at high temperatures.
High-temperature performance is also very important
for denaturation of RNA with secondary structure. In
one-step qRT-PCR, an RT that retains its activity at higher
temperatures allows you to use a GSP with a high melting
temperature (Tm), increasing specificity and reducing
background.
dNTPs
It is a good idea to purchase both the dNTPs and the
thermostable DNA polymerase from the same vendor,
as it is not uncommon to see a loss in sensitivity of one
full threshold cycle (Ct) in experiments that employ these
reagents from separate vendors.
4
In real-time PCR, magnesium chloride or magnesium
sulfate is typically used at a final concentration of 3 mM.
This concentration works well for most targets; however,
the optimal magnesium concentration may vary between
3 and 6 mM.
Do not underestimate the importance of good laboratory
technique. It is best to use dedicated equipment and
solutions for each stage of the reactions, from preparation
of the template to post-PCR analysis. The use of aerosolbarrier tips and screwcap tubes can help decrease
cross-contamination problems. To obtain tight data from
replicates (ideally, triplicates), prepare a master mix that
contains all the reaction components except sample. The
use of a master mix reduces the number of pipetting steps
and, consequently, reduces the chances of cross-well
contamination and other pipetting errors.
Template
Use 10 to 1,000 copies of template nucleic acid for each
real-time PCR reaction. This is equivalent to approximately
100 pg to 1 μg of genomic DNA, or cDNA generated from
1 pg to 100 ng of total RNA. Excess template may also bring
higher contaminant levels that can greatly reduce PCR
efficiency. Depending on the specificity of the PCR primers
for cDNA rather than genomic DNA, it may be important to
treat RNA templates to reduce the chance that they contain
genomic DNA contamination. One option is to treat the
template with DNase I.
Pure, intact RNA is essential for full-length, high-quality
cDNA synthesis and may be important for accurate
mRNA quantification. RNA should be devoid of any
RNase contamination, and aseptic conditions should be
maintained. Total RNA typically works well in qRT-PCR;
isolation of mRNA is typically not necessary, although it
may improve the yield of specific cDNAs.
Basics of real-time PCR
Real-time PCR primer design
Good primer design is one of the most important parameters
in real-time PCR. This is why many researchers choose to
purchase TaqMan® Assay products—primers and probes
for real-time PCR designed using a proven algorithm and
trusted by scientists around the world. If you choose to
design your own real-time PCR primers, keep in mind that
the amplicon length should be approximately 50–150 bp,
since longer products do not amplify as efficiently.
In general, primers should be 18–24 nucleotides in length.
This provides for practical annealing temperatures.
Primers should be designed according to standard PCR
guidelines. They should be specific for the target sequence
and be free of internal secondary structure. Primers should
avoid stretches of homopolymer sequences (e.g., poly(dG))
or repeating motifs, as these can hybridize inappropriately.
Primer design software
Primer design software programs, such as OligoPerfect™
designer and Primer Express® software, in addition to
sequence analysis software, such as Vector NTI® Software,
can automatically evaluate a target sequence and design
primers for it based on the criteria previously discussed.
At a minimum, using primer design software will ensure
that primers are specific for the target sequence and free
of internal secondary structure, and avoid complementary
hybridization at 3� ends within each primer and with
each other. As mentioned previously, good primer design
is especially critical when using DNA-binding dyes for
amplicon detection.
1
Primer pairs should have compatible melting temperatures
(within 1°C) and contain approximately 50% GC content.
Primers with high GC content can form stable imperfect
hybrids. Conversely, high AT content depresses the Tm of
perfectly matched hybrids. If possible, the 3� end of the
primer should be GC rich to enhance annealing of the end
that will be extended. Analyze primer pair sequences to
avoid complementarity and hybridization between primers
(primer-dimers).
For qRT-PCR, design primers that anneal to exons on both
sides of an intron (or span an exon/exon boundary of the
mRNA) to allow differentiation between amplification of
cDNA and potential contaminating genomic DNA by melting
curve analysis. To confirm the specificity of your primers,
perform a BLAST® search against public databases to be
sure that your primers only recognize the target of interest.
Optimal results may require a titration of primer
concentrations between 50 and 500 nM. A final
concentration of 200 nM for each primer is effective for
most reactions.
lifetechnologies.com
5
Basics of real-time PCR
1.4 Real-time PCR analysis technology
This section defines the major terms used in real-time PCR analysis.
Baseline
The baseline of the real-time PCR reaction refers to the
signal level during the initial cycles of PCR, usually cycles
3 to 15, in which there is little change in fluorescent signal.
The low-level signal of the baseline can be equated to the
background or the “noise” of the reaction (Figure 2). The
baseline in real-time PCR is determined empirically for
each reaction, by user analysis or automated analysis of
the amplification plot. The baseline should be set carefully
to allow accurate determination of the threshold cycle (Ct),
defined below. The baseline determination should take
into account enough cycles to eliminate the background
found in the early cycles of amplification, but should not
include the cycles in which the amplification signal begins
to rise above background. When comparing different realtime PCR reactions or experiments, the baseline should be
defined in the same way for each (Figure 2).
1
As the template amount decreases, the cycle number at
which significant amplification is seen increases. With a
10-fold dilution series, the Ct values are ~3.3 cycles apart.
Standard curve
A dilution series of known template concentrations can be
used to establish a standard curve for determining the initial
starting amount of the target template in experimental
samples or for assessing the reaction efficiency (Figure 4).
The log of each known concentration in the dilution series
(x-axis) is plotted against the Ct value for that concentration
Threshold
The threshold of the real-time PCR reaction is the level
of signal that reflects a statistically significant increase
over the calculated baseline signal (Figure 2). It is set
to distinguish relevant amplification signal from the
background. Usually, real-time PCR instrument software
automatically sets the threshold at 10 times the standard
deviation of the fluorescence value of the baseline.
However, the position of the threshold can be set at any
point in the exponential phase of PCR.
Figure 2. The baseline and threshold of a real-time PCR reaction.
Figure 3. Amplification plot for a 10-fold dilution series.
Ct (threshold cycle)
The threshold cycle (Ct) is the cycle number at which the
fluorescent signal of the reaction crosses the threshold.
The Ct is used to calculate the initial DNA copy number,
because the Ct value is inversely related to the starting
amount of target. For example, in comparing real-time
PCR results from samples containing different amounts of
target, a sample with twice the starting amount will yield a
Ct one cycle earlier than a a sample with twice the number
of copies of the target, relative to a second sample, will
have a Ct one cycle earlier than that of the second sample.
This assumes that the PCR is operating at 100% efficiency
(i.e., the amount of product doubles perfectly during each
cycle) in both reactions.
6
Basics of real-time PCR
amplification product, which is present in a low amount,
will not compete with the primers’ annealing capabilities.
All of these factors contribute to more accurate data.
Slope
The slope of the log-linear phase of the amplification
reaction is a measure of reaction efficiency. To obtain
accurate and reproducible results, reactions should have
an efficiency as close to 100% as possible, equivalent to a
slope of –3.32 (see Efficiency, below, for more detail).
Figure 4. Example of a standard curve of real-time PCR data. A
standard curve shows threshold cycle (Ct) on the y-axis and the starting
quantity of RNA or DNA target on the x-axis. Slope, y-intercept, and
correlation coefficient values are used to provide information about the
performance of the reaction.
(y-axis). From this standard curve, information about the
performance of the reaction as well as various reaction
parameters (including slope, y-intercept, and correlation
coefficient) can be derived. The concentrations chosen
for the standard curve should encompass the expected
concentration range of the target in the experimental
samples.
Correlation coefficient (R2)
The correlation coefficient is a measure of how well the
data fit the standard curve. The R2 value reflects the
linearity of the standard curve. Ideally, R2 = 1, although
0.999 is generally the maximum value.
Y-intercept
The y-intercept corresponds to the theoretical limit of
detection of the reaction, or the Ct value expected if the
lowest copy number of target molecules denoted on the
x-axis gave rise to statistically significant amplification.
Though PCR is theoretically capable of detecting a single
copy of a target, a copy number of 2–10 is commonly
specified as the lowest target level that can be reliably
quantified in real-time PCR applications. This limits the
usefulness of the y-intercept value as a direct measure of
sensitivity. However, the y-intercept value may be useful for
comparing different amplification systems and targets.
Exponential phase
It is important to quantify your real-time PCR reaction in
the early part of the exponential phase as opposed to in the
later cycles or when the reaction reaches the plateau. At the
beginning of the exponential phase, all reagents are still in
excess, the DNA polymerase is still highly efficient, and the
Efficiency
A PCR efficiency of 100% corresponds to a slope of –3.32,
as determined by the following equation:
1
Efficiency = 10(–1/slope) –1
Ideally, the efficiency (E) of a PCR reaction should be 100%,
meaning the template doubles after each thermal cycle
during exponential amplification. The actual efficiency can
give valuable information about the reaction. Experimental
factors such as the length, secondary structure, and GC
content of the amplicon can influence efficiency. Other
conditions that may influence efficiency are the dynamics
of the reaction itself, the use of non-optimal reagent
concentrations, and enzyme quality, which can result in
efficiencies below 90%. The presence of PCR inhibitors
in one or more of the reagents can produce efficiencies
of greater than 110%. A good reaction should have an
efficiency between 90% and 110%, which corresponds to a
slope of between –3.58 and –3.10.
Dynamic range
This is the range over which an increase in starting
material concentration results in a corresponding increase
in amplification product. Ideally, the dynamic range for
real-time PCR should be 7–8 orders of magnitude for
plasmid DNA and at least a 3–4 log range for cDNA or
genomic DNA.
Absolute quantification
Absolute quantification describes a real-time PCR
experiment in which samples of known quantity are serially
diluted and then amplified to generate a standard curve.
Unknown samples are then quantified by comparison with
this curve.
Relative quantification
Relative quantification describes a real-time PCR
experiment in which the expression of a gene of interest
in one sample (i.e., treated) is compared to expression
of the same gene in another sample (i.e., untreated).
lifetechnologies.com
7
Basics of real-time PCR
The results are expressed as fold change (increase or
decrease) in expression of the treated sample in relation to
the untreated sample. A normalizer gene (such as β-actin)
is used as a control for experimental variability in this type
of quantification.
A
Melting curve (dissociation curve)
A melting curve charts the change in fluorescence observed
when double-stranded DNA (dsDNA) with incorporated dye
molecules dissociates (“melts”) into single-stranded DNA
(ssDNA) as the temperature of the reaction is raised. For
example, when double-stranded DNA bound with SYBR®
Green I dye is heated, a sudden decrease in fluorescence
is detected when the melting point (Tm) is reached, due to
dissociation of the DNA strands and subsequent release of
the dye. The fluorescence is plotted against temperature
(Figure 5A), and then the –ΔF/ΔT (change in fluorescence/
change in temperature) is plotted against temperature to
obtain a clear view of the melting dynamics (Figure 5B).
1
B
Post-amplification melting-curve analysis is a simple,
straightforward way to check real-time PCR reactions for
primer-dimer artifacts and to ensure reaction specificity.
Because the melting temperature of nucleic acids is
affected by length, GC content, and the presence of base
mismatches, among other factors, different PCR products
can often be distinguished by their melting characteristics.
The characterization of reaction products (e.g., primerdimers vs. amplicons) via melting curve analysis reduces
the need for time-consuming gel electrophoresis.
The typical real-time PCR data set shown in Figure 6
illustrates many of the terms that have been discussed.
Figure 6A illustrates a typical real-time PCR amplification
plot. During the early cycles of the PCR reaction, there is little
change in the fluorescent signal. As the reaction progresses,
the level of fluorescence begins to increase with each cycle.
The reaction threshold is set above the baseline in the
exponential portion of the plot. This threshold is used to
assign the threshold cycle, or Ct value, of each amplification
reaction. Ct values for a series of reactions containing a
known quantity of target can be used to generate a standard
curve. Quantification is performed by comparing Ct values
for unknown samples against this standard curve or, in the
case of relative quantification, against each other, with the
standard curve serving as an efficiency check. Ct values are
inversely related to the amount of starting template: the
higher the amount of starting template in a reaction, the
lower the Ct value for that reaction.
Figure 6B shows the standard curve generated from the
Ct values in the amplification plot. The standard curve
provides important information regarding the amplification
efficiency, replicate consistency, and theoretical detection
limit of the reaction.
8
Figure 5. Melting curve (A) and –ΔF/ΔT vs. temperature (B).
Basics of real-time PCR
A
1
B
Figure 6. Amplification of RNase P DNA ranging from 1.25 x103 to 2 x10 4
copies. Real-time PCR of 2-fold serial dilutions of human RNase P DNA
was performed using a FAM™ dye–labeled TaqMan® Assay with TaqMan®
Universal Master Mix II, under standard thermal cycling conditions on a
ViiA™ 7 Real-Time PCR System. (A) Amplification plot. (B) Standard curve
showing copy number of template vs. threshold cycle (Ct).
lifetechnologies.com
9
Basics of real-time PCR
1.5 Real-time PCR fluorescence detection systems
Real-time fluorescent PCR chemistries
Many real-time fluorescent PCR chemistries exist, but the
most widely used are 5� nuclease assays such as TaqMan®
Assays and SYBR® Green dye–based assays (Figure 7).
1
The 5� nuclease assay is named for the 5� nuclease activity
associated with Taq DNA polymerase (Figure 8).
The 5� nuclease domain has the ability to degrade DNA
bound to the template, downstream of DNA synthesis.
A second key element in the 5� nuclease assay is a
phenomenon called fluorescence resonance energy
transfer (FRET). In FRET, the emissions of a fluorescent
dye can be strongly reduced by the presence of another
dye, often called the quencher, in close proximity.
FRET can be illustrated by two fluorescent dyes: green
and red (Figure 9). The green fluorescent dye has a
higher energy of emission compared to the red, because
green light has a shorter wavelength compared to red.
If the red dye is in close proximity to the green dye,
excitation of the green dye will cause the green emission
energy to be transferred to the red dye. In other words,
energy is being transferred from a higher to a lower
level. Consequently, the signal from the green dye will
be suppressed or “quenched”. However, if the two dyes
are not in close proximity, FRET cannot occur, allowing
the green dye to emit its full signal.
Figure 7. Representation of a 5� nuclease assay (left) and SYBR® Green
dye binding to DNA (right).
Figure 8. A representation of Taq DNA polymerase. Each colored
sphere represents a protein domain.
A 5� nuclease assay for target detection or quantification
typically consists of two PCR primers and a TaqMan® probe
(Figure 10).
Before PCR begins, the TaqMan® probe is intact and has a
degree of flexibility. While the probe is intact, the reporter
and quencher have a natural affinity for each other,
allowing FRET to occur (Figure 11). The reporter signal is
quenched prior to PCR.
During PCR, the primers and probe anneal to the target.
DNA polymerase extends the primer upstream of the
probe. If the probe is bound to the correct target sequence,
the polymerase’s 5� nuclease activity cleaves the probe,
releasing a fragment containing the reporter dye. Once
cleavage takes place, the reporter and quencher dyes are
no longer attracted to each other; the released reporter
molecule will no longer be quenched.
10
Figure 9. Example of the FRET phenomenon. (A) FRET occurs when
a green light–emitting fluorescent dye is in close proximity to a red
light–emitting fluorescent dye. (B) FRET does not occur when the two
fluorescent dyes are not in close proximity.
5� nuclease assay specificity
Assay specificity is the degree that the assay includes
signal from the target and excludes signal from non-target
in the results. Specificity is arguably the most important
aspect of any assay. The greatest threat to assay specificity
for 5� nuclease assays is homologs. Homologs are genes
similar in sequence to that of the target, but they are not
Basics of real-time PCR
Figure 10. TaqMan probe. The TaqMan probe has a gene-specific
sequence and is designed to bind the target between the two PCR
primers. Attached to the 5� end of the TaqMan® probe is the “reporter”,
which is a fluorescent dye that will report the amplification of the
target. On the 3� end of the probe is a quencher, which quenches fluorescence from the reporter in intact probes. The quencher also blocks
the 3� end of the probe so that it cannot be extended by thermostable
DNA polymerase.
®
®
the intended target of the assay. Homologs are extremely
common within species and across related species.
5� nuclease assays offer two tools for specificity: primers
and probes. A mismatch between the target and homolog
positioned at the 3�-most base of the primer has maximal
impact on the specificity of the primer. A mismatch further
away from the 3� end will have less impact on specificity.
In contrast, mismatches across most of the length of a
TaqMan® MGB probe, which is shorter than a TaqMan®
TAMRA™ probe, can have a strong impact on specificity—
TaqMan® MGB probes are stronger tools for specificity
than primers.
For example, a 1- or 2-base random mismatch in
the primer binding site will very likely allow the DNA
polymerase to extend the primer bound to the homolog
with high efficiency. A one or two base extension by DNA
polymerase will stabilize the primer bound to the homolog,
so it is just as stably bound as primer bound to the intended,
fully complementary target. At that point, there is nothing
to prevent the DNA polymerase from continuing synthesis
to produce a copy of the homolog.
In contrast, mismatches on the 5� end of the TaqMan®
probe binding site cannot be stabilized by the DNA
polymerase due to the quencher block on the 3� end.
Mismatches in a TaqMan® MGB probe binding site will
reduce how tightly the probe is bound, so that instead of
cleavage, the intact probe is displaced. The intact probe
returns to its quenched configuration, so that when
data are collected at the end of the PCR cycle, signal is
produced from the target but not from the homolog, even
though the homolog is being amplified.
In addition to homologs, PCR may also amplify nonspecific
products produced by primers binding to seemingly random
locations in the sample DNA or sometimes to themselves
in so-called “primer-dimers”. Since nonspecific products
Figure 11. Representation of a TaqMan® probe in solution. R is the
reporter dye, Q is the quencher molecule, and the orange line
represents the oligonucleotide.
1
are unrelated to the target, they do not have TaqMan®
probe binding sites, and thus are not seen in the real-time
PCR data.
TaqMan® probe types
TaqMan® probes may be divided into two types: MGB and
non-MGB. The first TaqMan® probes could be classified
as non-MGB. They used a dye called TAMRA™ dye as the
quencher. Early in the development of real-time PCR,
extensive testing revealed that TaqMan® probes required
an annealing temperature significantly higher than that
of PCR primers to allow cleavage to take place. TaqMan®
probes were therefore longer than primers. A 1-base
mismatch in such long probes had a relatively mild effect
on probe binding, allowing cleavage to take place. However,
for many applications involving high genetic complexity,
such as eukaryotic gene expression and single nucleotide
polymorphisms (SNPs), a higher degree of specificity
was desirable.
TaqMan® MGB probes were a later refinement of the
TaqMan® probe technology. TaqMan® MGB probes possess
a minor-groove binding (MGB) molecule on the 3� end.
Where the probe binds to the target, a short minor groove
is formed in the DNA, allowing the MGB molecule to bind
and increase the melting temperature, thus strengthening
probe binding. Consequently, TaqMan® MGB probes
can be much shorter than PCR primers. Because of the
MGB moiety, these probes can be shorter than TaqMan®
probes and still achieve a high melting temperature. This
enables TaqMan® MGB probes to bind to the target more
specifically than primers at higher temperatures. With
the shorter probe size, a 1-base mismatch has a much
greater impact on TaqMan® MGB probe binding. And
because of this higher level of specificity, TaqMan® MGB
probes are recommended for most applications involving
high genetic complexity.
lifetechnologies.com
11
Basics of real-time PCR
1
TaqMan® probe signal production
SYBR® Green dye dissociation
SYBR® Green dye
The concept of SYBR® Green dissociation is that if the target
is one defined genetic sequence, it should have one specific
melting temperature (Tm), which is used to help identify the
target in samples. Some non-target products will have
Tm values significantly different from that of the target,
allowing detection of those non-target amplifications.
Whether an MGB or non-MGB probe is chosen, both follow
the same pattern for signal production. In the early PCR
cycles, only the low, quenched reporter signal is detected.
This early signal, automatically subtracted to zero in the
real-time PCR software, is termed “baseline”. If the sample
contains a target, eventually enough of the cleaved probe
will accumulate to allow amplification signal to emerge
from the baseline. The point at which amplification signal
becomes visible is inversely related to the initial target
quantity.
SYBR® Green I dye is a fluorescent DNA-binding dye that
binds to the minor groove of any double-stranded DNA.
Excitation of DNA-bound SYBR® Green dye produces a
much stronger fluorescent signal compared to unbound
dye. A SYBR® Green dye–based assay typically consists of
two PCR primers. Under ideal conditions, a SYBR® Green
assay follows an amplification pattern similar to that of a
TaqMan® probe–based assay. In the early PCR cycles, a
horizontal baseline is observed. If the target was present
in the sample, sufficient accumulated PCR product will
be produced at some point so that amplification signal
becomes visible.
SYBR® Green assay specificity
Assay specificity testing is important for all assays, but
especially for those most vulnerable to specificity problems.
SYBR® Green assays do not benefit from the specificity
of a TaqMan® probe, making them more vulnerable to
specificity problems. SYBR® Green dye will bind to any
amplified product, target or non-target, and all such
signals are summed, producing a single amplification plot.
SYBR® Green amplification plot shape cannot be used to
assess specificity. Plots usually have the same appearance,
whether the amplification consists of target, non-target, or
a mixture. The fact that a SYBR® Green assay produced an
amplification should not be automatically taken to mean
the majority of any of the signal is derived from target.
Since amplification of non-target can vary from sample
to sample, at least one type of specificity assessment
should be performed for every SYBR® Green reaction. Most
commonly, this ongoing assessment is the dissociation
analysis.
12
SYBR® Green dissociation is the gradual melting of the
PCR products after PCR when using SYBR® Green–based
detection. Dissociation is an attractive choice for specificity
assessment because it does not add cost to the experiment
and can be done right in the PCR reaction vessel. However,
dissociation does add more time to the thermal protocol,
requires additional analysis time, is somewhat subjective,
and has limited resolution.
The dissociation protocol is added after the final PCR cycle.
Following the melt process, the real-time PCR software
will plot the data as the negative first derivative, which
transforms the melt profile into a peak.
Accurate identification of the target peak depends on
amplification of pure target. Many samples such as cellular
RNA and genomic DNA exhibit high genetic complexity,
creating opportunities for non-target amplification that
may suppress the amplification of the target or, in some
cases, alter the shape of the melt peak. By starting with
pure target, the researcher will be able to associate a peak
Tm and shape with a particular target after amplification.
Only one peak should be observed. The presumptive target
peak should be narrow, symmetrical, and devoid of other
anomalies, such as shoulders, humps, or splits. These
anomalies are strong indications that multiple products
of similar Tm values were produced, casting strong
doubts about the specificity of those reactions. Wells with
dissociation anomalies should be omitted from further
analysis.
SYBR® Green dissociation is low resolution and may not
differentiate between target and non-target with similar Tm
values (e.g., homologs). Therefore, one, narrow symmetric
peak should not be assumed to be the target, nor one
product, without additional supporting information.
Dissociation data should be evaluated for each well where
amplification was observed. If the sample contains a peak
that does not correspond to the pure target peak, the
Basics of real-time PCR
conclusion is that target was not detected in that reaction.
If the sample contains a peak that appears to match the
Tm and shape of the pure target peak, target may have
amplified in that reaction. Dissociation data in isolation
cannot be taken as definitive, but when combined with
other information, such as data from target-negative
samples, sequencing, or gels, can provide more confidence
in specificity.
1
Real-time PCR instrumentation
Many different models of real-time PCR instruments are
available. Each model must have an excitation source,
which excites the fluorescent dyes, and a detector to
detect the fluorescent emissions. In addition, each model
must have a thermal cycler. The thermal block may
be either fixed, as in the StepOnePlus™ system or user
interchangeable, as in the ViiA™ 7 system, the QuantStudio®
6 and 7 Flex systems, and QuantStudio® 12K Flex system.
Blocks are available to accept a variety of PCR reaction
vessels: 48-well plates, 96-well plates, 384-well plates,
384-microwell cards, 3,072–through-hole plates, etc. All
real-time PCR instruments also come with software for
data collection and analysis.
Dye differentiation
Most real-time PCR reactions contain multiple dyes,
including one or more reporter dyes, in some cases
a quencher dye, and, very often, a passive reference
dye. Multiple dyes in the same well can be measured
independently, either through optimized combinations of
excitation and emission filters or through a process called
multicomponenting.
Multicomponenting is a mathematical method to measure
dye intensity for each dye in the reaction. Multicomponenting
offers the benefits of easy correction for dye designation
errors, refreshing optical performance to factory standard
without hardware adjustment, and provides a source of
troubleshooting information.
lifetechnologies.com
13
Basics of real-time PCR
1.6 Melting curve analysis
Melting curve analysis and detection
systems
1
Melting curve analysis and primer-dimers
The level of fluorescence of both SYBR® Green I and SYBR®
GreenER™ dyes significantly increases upon binding to
dsDNA. By monitoring the dsDNA as it melts, a decrease
in fluorescence will be seen as soon as the DNA becomes
single-stranded and the dye dissociates from the DNA.
Primer-dimers occur when two PCR primers (either
same-sense primers or sense and antisense primers) bind
to each other instead of the target. Melting curve analysis
can identify the presence of primer-dimers because they
exhibit a lower melting temperature than the amplicon.
The presence of primer-dimers is not desirable in samples
that contain template, as it decreases PCR efficiency and
obscures analysis. The formation of primer-dimers most
often occurs in no-template controls (NTCs), where there
is an abundance of primer and no template. The presence
of primer-dimers in the NTC should serve as an alert to
the user that they may also be present in reactions that
include template. If there are primer-dimers in the NTC,
the primers should be redesigned. Melting curve analysis
of NTCs can discriminate between primer-dimers and
spurious amplification due to contaminating nucleic acids
in the reagent components.
Importance of melting curve analysis
How to perform melting curve analysis
Melting curve analysis can only be performed with realtime PCR detection technologies in which the fluorophore
remains associated with the amplicon. Amplifications
that have used SYBR® Green I or SYBR® GreenER™ dye
can be subjected to melting curve analysis. Dual-labeled
probe detection systems such as TaqMan® probes are not
compatible because they produce an irreversible change
in signal by cleaving and releasing the fluorophore into
solution during the PCR; however, the increased specificity
of this method makes this less of a concern.
The specificity of a real-time PCR assay is determined by
the primers and reaction conditions used. However, there
is always the possibility that even well-designed primers
may form primer-dimers or amplify a nonspecific product
(Figure 12). There is also the possibility when performing
qRT-PCR that the RNA sample contains genomic DNA,
which may also be amplified. The specificity of the realtime PCR reaction can be confirmed using melting curve
analysis. When melting curve analysis is not possible,
additional care must be used to establish that differences
observed in Ct values between reactions are valid and not
due to the presence of nonspecific products.
Figure 12. Melting curve analysis can detect the presence of
nonspecific products, such as primer-dimers, as shown by the
additional peaks to the left of the peak for the amplified product peaks.
14
To perform melting curve analysis, the real-time PCR
instrument can be programmed to include a melting
profile immediately following the thermal cycling protocol.
After amplification is complete, the instrument will reheat
your amplified products to give complete melting curve
data (Figure 13). Most real-time PCR instrument platforms
now incorporate this feature into their analysis packages.
Figure 13. Example of a melting curve thermal profile setup on an
Applied Biosystems® instrument (rapid heating to 94°C to denature the
DNA, followed by cooling to 60°C).
Basics of real-time PCR
1.7 Passive reference dyes
Passive reference dyes are frequently used in real-time
PCR to normalize the fluorescent signal of reporter dyes
and correct for fluctuations in fluorescence that are
not PCR-based. Normalization is necessary to correct
for fluctuations from well to well caused by changes
in reaction concentration or volume and to correct for
variations in instrument scanning. Most real-time PCR
instruments use ROX™ dyes as the passive reference
dye, because ROX™ dye does not affect the real-time
PCR reaction and has a fluorescent signal that can be
distinguished from that of many reporter or quencher dyes
used. An exception is the Bio-Rad iCycler iQ® instrument
system, which uses fluorescein as the reference dye.
Passive reference dye
A passive reference dye such as ROX™ dye is used to
normalize the fluorescent reporter signal in real-time PCR
on compatible instruments, such as Applied Biosystems®
instruments. The use of a passive reference dye is an
effective tool for the normalization of fluorescent reporter
signal without modifying the instrument’s default analysis
parameters. TaqMan® real-time PCR master mixes contain
a passive reference dye that serves as an internal control
to:
Fluorescein reference dye
Bio-Rad iCycler® instruments require the collection of
“well factors” before each run to compensate for any
instrument or pipetting non-uniformity. Well factors for
experiments using SYBR® Green I or SYBR® GreenER™ dye
are calculated using an additional fluorophore, fluorescein.
Well factors are collected using either a separate plate
containing fluorescein dye in each well (external well
factors) or the experimental plate with fluorescein spiked
into the real-time PCR master mix (dynamic well factors).
You must select the method when you start each run
using the iCycler® instrument. The iCycler® iQ™5 and
MyiQ™ systems allow you to save the data from an external
well factor reading as a separate file, which can then be
referenced for future readings.
1
• Normalize for non–PCR-related fluctuations in
fluorescence (e.g., caused by variation in pipetting)
• Normalize for fluctuations in fluorescence resulting
from machine “noise”
• Compensate for variations in instrument excitation
and detection
• Provide a stable baseline for multiplex real-time PCR
and qRT-PCR
lifetechnologies.com
15
Basics of real-time PCR
1.8 Contamination prevention
As with traditional PCR, real-time PCR reactions can
be affected by nucleic acid contamination, leading to
false positive results. Some of the possible sources of
contamination are:
1
• Cross-contamination between samples
• Contamination from laboratory equipment
• Carryover contamination of amplification products
and primers from previous PCRs. This is considered
to be the major source of false positive PCR results
Uracil N-glycosylase (UNG)
Uracil N-glycosylase (UNG) is used to reduce or prevent
DNA carryover contamination between PCR reactions
by preventing the amplification of DNA from previous
reactions. The use of UNG in PCR reactions reduces false
positives, in turn increasing the efficiency of the real-time
PCR reaction and the reliability of data.
How UNG carryover prevention works
UNG for carryover prevention begins with the substitution of
dUTP for dTTP in real-time PCR master mixes. Subsequent
real-time PCR reaction mixes are then treated with UNG,
which degrades any contaminating uracil-containing PCR
products, leaving the natural (thymine-containing) target
DNA template unaffected.
With standard UNG, a short incubation at 50°C is performed
prior to the PCR thermal cycling so that the enzyme can
cleave the uracil residues in any contaminating DNA.
The removal of the uracil bases causes fragmentation of
the DNA, preventing its use as a template in PCR. The
UNG is then inactivated in the ramp up to 95°C in PCR.
A heat-labile form of the enzyme is also available, which
is inactivated at 50°C, so that it can be used in one-step
qRT-PCR reaction mixes.
1.9 Multiplex real-time PCR
Introduction to multiplexing
PCR multiplexing is the amplification and specific
detection of two or more genetic sequences in the same
reaction. To be successful, PCR multiplexing must be able
to produce sufficient amplified product for the detection of
all of the intended sequences. Real-time PCR multiplexing
may be used to produce quantitative or qualitative results.
For quantitative PCR multiplexing, all of the intended
sequences must produce sufficient geometric-phase
signal. For qualitative results, if amplified products are
sufficient an endpoint detection method such as gel
electrophoresis can be used.
The suffix “plex” is used in multiple terms. Singleplex is
an assay designed to amplify a single genetic sequence.
Duplex is a combination of two assays designed to
amplify two genetic sequences. The most common type
of multiplex is a duplex, in which the assay for the target
gene is conducted in the same well as that for the control
or normalizer gene, but higher-order multiplexes are also
possible.
Some commercial real-time PCR kits are designed and
validated as a multiplex. For example, the MicroSEQ®
E. coli O157:H7 Kit multiplexes the E. coli target assay
with an internal positive control assay. For research
applications, the scientist usually chooses which assays
to multiplex and is responsible for multiplex validation.
When considering whether to create a multiplex assay, it is
16
important to weigh the benefits of multiplexing versus the
degree of effort needed for validation.
Multiplexing benefits
Three benefits of multiplexing—increased throughput
(more samples potentially assayed per plate), reduced
sample usage, and reduced reagent usage—are dependent
on the number of targets in the experiment. For example, if
a quantitative experiment consists of only one target assay,
running the target assay as a duplex with the normalizer
assay, such as an endogenous control assay, will increase
throughput, reduce sample required, and reduce reagent
usage by half. If a quantitative experiment consists of two
target assays, it may be possible to combine two target
assays and the normalizer assay in a triplex reaction. In
that case, the throughput increase, sample reduction, and
reagent reduction will be even greater.
If the target assay is multiplexed with the normalizer
assay, another benefit of multiplexing is minimizing pipet
precision errors. Target and normalizer data from the
same well are derived from a single sample addition, so
any pipet precision error should affect both the target and
normalizer results equally. In order to gain this precision
benefit, target data must be normalized by the normalizer
data from the same well before calculating technical
replicate precision. Comparing multiplex data analyzed in a
singleplex manner (without well-based normalization) to an
analysis done in a multiplex manner demonstrates that the
Basics of real-time PCR
multiplex precision benefit can be substantial, depending
on the singleplex error. For example, for samples with
minimal singleplex precision error, the multiplex precision
benefit will be minimal as well.
The precision benefit of multiplexing is especially valuable
for quantitative experiments requiring a higher degree
of precision. For example, in copy number variation
experiments, discriminating 1 copy from 2 copies of the
gene is a 2-fold difference, which requires good precision.
However, discriminating 2 copies from 3 copies is only a
1.5-fold difference, which requires even better precision.
Multiplexing is one recommended method to help achieve
the necessary degree of precision for this type of experiment.
Instrumentation for multiplexing
Multiplex assays usually involve multiple dyes in the same
well. The real-time PCR instrument must be capable of
measuring those different dye signals in the same well
with accuracy. These measurements must remain specific
for each dye, even when one dye signal is significantly
higher than another. Proper instrument calibration is
necessary to accurately measure each dye contribution
within a multiplex assay.
Chemistry recommendations for
multiplexing
The best fluorescent chemistries for real-time PCR
multiplexing are those that can assign different dyes to
detect each genetic sequence in the multiplex. The vast
majority of multiplexing is performed with multi-dye, highspecificity chemistries, such as TaqMan® probe-based
assays.
For multiplex assays involving RNA, two-step RT-PCR is
generally recommended over one-step RT-PCR. One-step
RT-PCR requires the same primer concentration for
reverse transcription and PCR, reducing flexibility in
primer concentrations optimal for multiplexing. In two-step
RT-PCR, the PCR primer concentration may be optimized
for multiplexing, without having any adverse affect on
reverse transcription.
Dye choices for multiplexing
Assuming a multi-dye real-time PCR fluorescence
chemistry is being used, each genetic sequence being
detected in the multiplex will require a different reporter dye.
The reporter dyes chosen must be sufficiently excited and
accurately detected when together in the same well by the
real-time PCR instrument. The instrument manufacturer
should be able to offer dye recommendations. Note that
Applied Biosystems® real-time PCR master mixes contain
a red passive reference dye. Whereas blue-only excitation
instruments can excite this ROX™ dye–based reference
sufficiently to act as a passive reference dye, blue excitation
is generally not sufficient for red dyes to act as a reporter.
Reporter dyes do not have to be assigned based on the type
of target gene or gene product, but following a pattern in
assigning dyes can simplify the creation of a multiplex assay.
For example, FAM™ dye is the most common reporter dye
used in TaqMan® probes. We follow the pattern of assigning
FAM™ dye as the reporter for the target assay and assigning
VIC® dye as the reporter for the normalizer assay. Using
this pattern, multiple duplex assays may be created by
pairing a different FAM™ dye–labeled target assay with the
same VIC® dye for the normalizer assay. In a triplex assay,
a third dye, such as ABY® or JUN® dye, may be combined
with FAM™ dye and VIC® dyes. Note that if ABY® dye is being
used, TAMRA™ dye should not be present in the same well,
and if JUN® dye is used, MUSTANG PURPLE® dye should
be used instead of ROX™ dye as a passive reference.
1
Multiplex PCR saturation
Multiplex PCR saturation is an undesirable phenomenon
that may occur in a multiplex assay when the amplification
of the more abundant gene saturates the thermostable
DNA polymerase, suppressing the amplification of the less
abundant gene. The remedy for saturation is a reduction
of the PCR primer concentration for the more abundant
target, termed “primer limitation”. The primer-limited
concentration should be sufficient to enable geometric
amplification, but sufficiently low that the primer is
exhausted before the PCR product accumulates to a level
that starves amplification of the less abundant target.
When planning a multiplex assay, the researcher should
identify which gene or genes in the multiplex have the
potential to cause saturation, which is based on the
absolute DNA or cDNA abundance of each gene or gene
product in the PCR reaction. In this regard, the three most
common duplex scenarios are listed below.
Duplex scenario 1
In this most common scenario, the more abundant gene
or gene product is the same in all samples. Only the assay
for the more abundant target requires primer limitation.
For example, the normalizer might be 18S ribosomal
RNA, which is 20% of eukaryotic total RNA. The 18S rRNA
cDNA would be more abundant than any mRNA cDNA in
every sample. Therefore, only the 18S assay would require
primer limitation.
Duplex scenario 2
In this scenario, the two genes have approximately equal
abundance in all samples. Generally, a Ct difference
between the two genes of 3 or higher, assuming the same
lifetechnologies.com
17
Basics of real-time PCR
threshold, would not qualify for equal abundance. Genomic
DNA applications, such as copy number variation, are
most likely to fall into this scenario. Primer limitation is
not necessary for scenario 2, because the two genes are
progressing through the geometric phase at approximately
the same time.
Duplex scenario 3
1
In this scenario, either the gene or gene product has the
potential to be significantly more abundant than the other.
In this case, both assays should be primer limited.
the number of assays in the multiplex. For example, in a
duplex assay with 4 PCR primers there are 6 unique primer
pairs possible, and in a triplex assay with 6 PCR primers
there are 15 unique pairs possible. In singleplex each assay
may perform well, but in a multiplex reaction the primer
interactions can create competitive products, suppressing
amplification. The chances of primer interactions grow
when the assays being multiplexed have homology. If
primer interaction does occur based on the observation
of significantly different Ct values in the singleplex vs.
multiplex reaction, the remedy is to use a different assay in
the multiplex reaction.
Multiplex primer interactions
Another potential threat to multiplex assay performance
is unexpected primer interactions between primers from
different assays. The risk of primer interaction grows
with the number of assays in the reaction, because the
number of unique primer pairs increases dramatically with
1.10 Internal controls and reference genes
Real-time PCR has become a method of choice for gene
expression analysis. To achieve accurate and reproducible
expression profiling of selected genes using real-time
PCR, it is critical to use reliable internal control gene
products for the normalization of expression levels
between experiments—typically expression products from
housekeeping genes are used. The target chosen to be
the internal standard (or endogenous control) should be
expressed at roughly the same level as the experimental
gene product. By using an endogenous control as an
active reference, quantification of an mRNA target can
be normalized for differences in the amount of total RNA
added to each reaction. Regardless of the gene that is
chosen to act as the endogenous control, that gene must
be tested under all of one’s experimental conditions, to
ensure that there is consistent expression of the control
gene under all conditions.
18
Relative gene expression analysis using
housekeeping genes
Relative gene expression comparisons work best when the
expression level of the chosen housekeeping gene remains
constant. The choice of the housekeeping reference gene
is reviewed in BioTechniques 29:332 (2000) and J Mol
Endocrinol 25:169 (2000). Ideally, the expression level of
the chosen housekeeping gene should be validated for
each target cell or tissue type to confirm that it remains
constant at all points of the experiment. For example,
GAPDH expression has been shown to be up-regulated in
proliferating cells, and 18S ribosomal RNA (rRNA) may not
always represent the overall cellular mRNA population.
Basics of real-time PCR
1.11 Real-time PCR instrument calibration
Timely, accurate calibration is critical for the proper
performance of any real-time PCR instrument. It preserves
data integrity and consistency over time. Real-time PCR
instruments should be calibrated as part of a regular
maintenance regimen and prior to using new dyes for the
first time, following the manufacturer’s instructions.
Excitation/emission difference
corrections
The optical elements in real-time PCR instruments can
be divided into two main categories: the excitation source,
such as halogen lamps or LEDs, and the emission detector,
such as a CCD camera or photodiode. While manufacturers
can achieve excellent uniformity for excitation strength and
emission sensitivity across the wells of the block, there will
always be some variation. This variation may increase with
age and usage of the instrument. Uncorrected excitation/
emission differences across the plate can cause shifts in
Ct values. However, if a passive reference dye is present
in the reaction, those differences will affect the reporter
and passive reference signals to the same degree, so that
normalization of the reporter to the passive reference
corrects the difference.
Universal optical fluctuations
In traditional plastic PCR plates and tubes, the liquid
reagents are at the bottom of the well, air space is
above the liquid, and a plastic seal is over the well. With
this configuration, a number of temperature-related
phenomena occur.
During cycling, temperatures reach 95°C. At that high
temperature, water is volatilized into the air space in the
well. This water vapor or steam will condense on the
cooler walls of the tube, forming water droplets that return
to the reagents at the bottom. This entire process, called
“refluxing”, is continuous during PCR.
Second, at high temperature, air dissolved within the liquid
reagents will become less soluble, creating small air
bubbles.
Third, the pressure of the steam will exert force on the
plastic seal, causing it to change shape slightly during
PCR.
All of these temperature-related phenomena are in
the excitation and emission light path and can cause
fluctuations in fluorescent signal. The degree of these
fluctuations can vary, depending on factors such as how
much air was dissolved in the reagents and how well the
plate was sealed. Generally, universal fluctuations do not
produce obvious distortions in the reporter signal, but they
do affect the precision of replicates. If present, a passive
reference dye is in the same light path as the reporter,
so normalization of reporter to passive reference signals
corrects for these fluctuations.
1
Precision improvement
The correction effect of passive reference normalization
will improve the precision of real-time PCR data. The
degree of improvement will vary, depending on a number of
factors, such as how the reagents and plate were prepared.
Atypical optical fluctuations
Atypical optical fluctuations are thermal-related anomalies
that are not universal across all reactions in the run and
produce an obvious distortion in the reporter signal. One
example of an atypical optical fluctuation is a significant
configuration change in the plate seal, which may be
termed “optical warping”. Optical warping occurs when
a well is inadequately sealed, and then, during PCR, the
heat and pressure of the heated lid causes the seal to seat
properly. A second example is large bubbles that burst
during PCR.
Distortions in the amplification plot are likely to cause
baseline problems and may even affect Ct values.
Normalization to a passive reference dye provides excellent
correction for optical warping, so the resulting corrected
amplification plot may appear completely anomaly-free.
Normalization does not fully correct for a large bubble
bursting, but it can help minimize the data distortion
caused.
lifetechnologies.com
19
Experimental design
2
Experimental design
2.1
Introduction
22
2.2
Real-time PCR assay types
22
2.3
Amplicon and primer design considerations
23
2.4
Nucleic acid purification and quantitation
26
2.5
Reverse transcription considerations
28
2.6
Controls
30
2.7
Normalization methods
30
2.8
Using a standard curve to assess
efficiency, sensitivity, and reproducibility
32
lifetechnologies.com
2
21
Experimental design
2.1 Introduction
Successful real-time PCR assay design and development
are the foundation for accurate data. Up-front planning will
assist in managing any experimental variability observed
during this process.
Before embarking on experimental design, clearly
understand the goal of the assay; specifically, what
biological questions need to be answered. For example, an
experiment designed to determine the relative expression
level of a gene in a particular disease state will be quite
different from one designed to determine viral copy number
from that same disease state. After determining your
experimental goal, identify the appropriate real-time PCR
controls and opportunities for optimization. This section
2
•
•
•
•
•
Target amplicon and primer design
Nucleic acid purification
Reverse transcription
Controls and normalization
Standard curve evaluation of efficiency, sensitivity,
and reproducibility
2.2 Real-time PCR assay types
Gene expression profiling is a common use of real-time
PCR that assesses the relative abundance of transcripts
to determine gene expression patterns between samples.
RNA quality, reverse transcription efficiency, real-time
PCR efficiency, quantification strategy, and the choice of a
normalizer gene play particularly important roles in gene
expression experiments.
Viral titer determination assays can be complex to design.
Often, researchers want to quantify viral copy number in
samples. This is often accomplished by comparison to a
standard curve generated using known genome equivalents or nucleic acid harvested from a titered virus control.
Success is dependent on the accuracy of the material used
to generate the standard curve. Depending on the nature
of the target—an RNA or DNA virus—reverse transcription
and real-time PCR efficiency also play significant roles.
Assay design will also be influenced by whether the assay
22
describes the stages of real-time PCR assay design and
implementation. We will identify sources of variability,
the role they play in data accuracy, and guidelines for
optimization in the following areas:
is for counting functional viral particles or the total number
of particles.
In copy number variation analysis, the genome is analyzed
for duplications or deletions. The assay design, and most
specifically standard curve generation, will be dictated
by whether relative or absolute quantification is desired.
Assay design focuses on real-time PCR efficiency and the
accuracy necessary to discriminate single-copy deviations.
Lastly, allelic discrimination assays can detect variation
down to the single-nucleotide level. Unlike the methods
described above, endpoint fluorescence is measured to
determine the SNP genotypes. Primer and probe design
play particularly important roles to ensure a low incidence
of allele-specific cross-reactivity.
Experimental design
2.3 Amplicon and primer design considerations
Target amplicon size, GC content,
location, and specificity
As will be discussed in more detail later in this guide,
reaction efficiency is paramount to the accuracy of realtime PCR data. In a perfect scenario, each target copy in
a PCR reaction will be copied at each cycle, doubling the
number of full-length target molecules: this corresponds
to 100% amplification efficiency. Variations in efficiency
will be amplified as thermal cycling progresses. Thus, any
deviation from 100% efficiency can result in potentially
erroneous data.
One way to minimize efficiency bias is to amplify relatively
short targets. Amplifying a 100 bp region is much more
likely to result in complete synthesis in a given cycle
than, say, amplifying a 1,200 bp target. For this reason,
real-time PCR target lengths are generally 60–200 bp. In
addition, shorter amplicons are less affected by variations
in template integrity. If nucleic acid samples are slightly
degraded and the target sequence is long, upstream
and downstream primers will be less likely to find their
complementary sequence in the same DNA fragment.
Amplicon GC content and secondary structure can be
another cause of data inaccuracy. Less-than-perfect target
doubling at each cycle is more likely to occur if secondary
structure obstructs the path of the DNA polymerase.
Ideally, primers should be designed to anneal with, and
to amplify, a region of medium (50%) GC content with no
significant GC stretches. For amplifying cDNA, it is best to
locate amplicons near the 3� ends of transcripts. If RNA
secondary structure prohibits full-length cDNA synthesis
in a percentage of the transcripts, these amplicons are less
likely to be impacted (Figure 14).
Target specificity is another important factor in data
accuracy. When designing real-time PCR primers, check
primers to be sure that their binding sites are unique in
the genome. This reduces the possibility that the primers
could amplify similar sequences elsewhere in the sample
genome. Primer design software programs automate
the process of screening target sequences against the
originating genome and masking homologous areas, thus
eliminating primer designs in these locations.
Genomic DNA, pseudogenes, and allele
variants
Genomic DNA carryover in an RNA sample may be a
concern when measuring gene expression levels. The gDNA
may be co-amplified with the target transcripts of interest,
resulting in invalid data. Genomic DNA contamination is
detected by setting up control reactions that do not contain
reverse transcriptase (RT control); if the Ct for the RT
control is higher than the Ct generated by the most dilute
target, it indicates that gDNA is not contributing to signal
generation. However, gDNA can compromise the efficiency
of the reaction due to competition for reaction components
such as dNTPs and primers.
2
The best method for avoiding gDNA interference in realtime PCR is thoughtful primer (or primer/probe) design,
which takes advantage of the introns present in gDNA that
are absent in mRNA. Whenever possible, TaqMan® Gene
Expression Assays are designed so that the TaqMan® probe
spans an exon-exon boundary. Primer sets for SYBR®
Green dye–based detection should be designed to anneal
in adjacent exons or with one of the primers spanning an
exon/exon junction. When upstream and downstream PCR
primers anneal within the same exon, they can amplify
target from both DNA and RNA. Conversely, when primers
anneal in adjacent exons, only cDNA will be amplified in
most cases, because the amplicon from gDNA would
include intron sequence, resulting in an amplicon that is
too long to amplify efficiently in the conditions used for
real-time PCR.
Pseudogenes, or silent genes, are other transcript variants
to consider when designing primers. These are derivatives
of existing genes that have become nonfunctional due to
mutations and/or rearrangements in the promoter or
gene itself. Primer design software programs can perform
BLAST® searches to avoid pseudogenes and their mRNA
products.
Figure 14. An RNA molecule with a high degree of secondary structure.
lifetechnologies.com
23
Experimental design
Allele variants are two or more unique forms of a gene
that occupy the same chromosomal locus. Transcripts
originating from these variants can vary by one or more
mutations. Allele variants should be considered when
designing primers, depending on whether one or more
variants are being studied. In addition, GC content
differences between variants may alter amplification
efficiencies and generate separate peaks on a melt
curve, which can be incorrectly diagnosed as off-target
amplification. Alternately spliced variants should also be
considered when designing primers.
Specificity, dimerization, and self-folding
in primers and probes
2
Primer-dimers are most often caused by an interaction
between forward and reverse primers, but can also be
the result of forward-forward or reverse-reverse primer
annealing, or a single primer folding upon itself. Primerdimers are of greater concern in more complex reactions
such as multiplex real-time PCR. If the dimerization
occurs in a staggered manner, as often is the case, some
extension can occur, resulting in products that approach
the size of the intended amplicon and become more
abundant as cycling progresses. Typically, the lower the
amount of target at the start of the PCR reaction, the more
likely primer-dimer formation will be. The positive side of
this potential problem is that primer-dimers are usually
a less favorable interaction than the intended primertemplate interaction, and there are many ways to minimize
or eliminate this phenomenon.
The main concern with primer-dimers is that they may
cause false-positive results. This is of particular concern
with reactions that use DNA-binding dyes such as
SYBR® Green I dye. Another problem is that the resulting
competition for reaction components can contribute to a
reaction efficiency outside the desirable range of 90-110%.
The last major concern, also related to efficiency, is that
the dynamic range of the reaction may shrink, impacting
reaction sensitivity. Even if signal is not generated from the
primer-dimers themselves (as is the case with TaqMan®
Assays), efficiency and dynamic range may still be affected.
Several free software programs are available to analyze
your real-time PCR primer designs and determine if
they will be prone to dimerize or fold upon themselves.
The AutoDimer program (authored by P.M. Vallone,
National Institute of Standards and Technology, USA) is a
24
Figure 15. A screen capture from AutoDimer software. This software
is used to analyze primer sequences and report areas of potential
secondary structure within primers (which could lead to individual
primers folding on themselves) or stretches of sequence that would
allow primers to anneal to each other.
Figure 16. Agarose gel analysis to investigate primer-dimer formation. Prior to the thermal cycling reaction, the nucleic acid sample was
serially diluted and added to the components of a PCR mix, and the
same volume from each mixture was loaded on an agarose gel. Primerdimers appear as diffuse bands at the bottom of the gel.
bioinformatics tool that can analyze a full list of primers at
the same time (Figure 15). This is especially helpful with
multiplexing applications. However, while bioinformatics
analysis of primer sequences can greatly minimize the
risk of dimer formation, it is still necessary to monitor
dimerization experimentally.
The traditional method of screening for primer-dimers
is gel electrophoresis, in which they appear as diffuse,
smudgy bands near the bottom of the gel (Figure 16). One
concern with gel validation is that it is not very sensitive
and therefore may be inconclusive. However, gel analysis
is useful for validating data obtained from a melting/
dissociation curve, which is considered the best method
for detecting primer-dimers.
Experimental design
Melting or dissociation curves should be generated
following any real-time PCR run that uses DNA-binding
dyes for detection. In brief, the instrument ramps from
low temperature, in which DNA is double-stranded and
fluorescence is high, to high temperature, which denatures
DNA and results in lower fluorescence. A sharp decrease
in fluorescence will be observed at the Tm for each product
generated during the PCR. The melting curve peak obtained
for the no-template control (NTC) can be compared to
the peak obtained from the target to determine whether
primer-dimers are present in the reaction.
Ideally, a single distinct peak should be observed for each
reaction containing template, and no peaks should be
present in the NTCs. Smaller, broader peaks at a lower
melting temperature than that of the desired amplicon and
also appearing in the NTC reactions are quite often dimers.
Again, gel runs of product can often validate the size of the
product corresponding to the melting peak.
There are situations in which primer-dimers are present,
but may not affect the overall accuracy of the real-time
PCR assay. A common observation is that primer-dimers
are present in the NTC but do not appear in reactions
containing template DNA. This is not surprising because
in the absence of template, primers are much more likely
to interact with each other. When template is present,
primer-dimer formation is not favored. As long as the peak
seen in the NTC is absent in the plus-template dissociation
curve, primer-dimers are not an issue.
Primer-dimers are part of a broad category of nonspecific
PCR products that includes amplicons created when
a primer anneals to an unexpected location with an
imperfect match. Amplification of nonspecific products is
of concern because they can contribute to fluorescence,
which in turn artificially shifts the Ct of the reaction. They
can influence reaction efficiency through competition for
reaction components, resulting in a decreased dynamic
range and decreased data accuracy. Nonspecific products
are an even greater concern in absolute quantification
assays in which precise copy numbers are reported.
Standard gel electrophoresis is generally the first step
in any analysis of real-time PCR specificity. While it can
help to identify products that differ in size from your
target amplicon, a band may still mask similar-sized
amplicons and has limited sensitivity. Due to its accuracy
and sensitivity, melt curve analysis provides the most
confidence in confirming gel electrophoretic assessment
of primer specificity.
While nonspecific amplification should always be
eliminated, if possible, there are some cases in which
the presence of these secondary products is not always
a major concern. For example, if alternate isoforms or
multiple alleles that differ in GC content are knowingly
targeted, multiple products are expected.
Primer design considerations
The following recommendations are offered for designing
primers for real-time PCR : Primer Express®, OligoPerfect™
Designer, and Vector NTI® Software. Note that primer
design software programs, such as our web-based
OligoPerfect™ Designer and Vector NTI® Software, are
seamlessly connected to our online ordering system, so you
don’t have to cut-and-paste sequences. These programs
can automatically design primers for specific genes or
target sequences using algorithms that incorporate the
following guidelines and can also perform genome-wide
BLAST® searches for known sequence homologies.
2
• In general, design primers that are 18–28 nucleotides
in length
• Avoid stretches of repeated nucleotides
• Aim for 50% GC content, which helps to prevent
mismatch stabilization
• Choose primers that have compatible Tm values
(within 1°C of each other)
• Avoid sequence complementarity between all
primers employed in an assay and within each primer
lifetechnologies.com
25
Experimental design
2.4 Nucleic acid purification and quantitation
Real-time PCR nucleic acid purification
methods
Prior to performing nucleic acid purification, one must
consider the source material (cells or tissue) and potential
technique limitations. DNA and RNA isolation techniques
vary in ease of use, need for organic solvents, and resulting
nucleic acid purity with regards to carryover of DNA (in the
case of RNA isolation), protein, and organic solvents.
This section will primarily discuss RNA isolation, though
most of the same guidelines also hold true for DNA
isolation.
2
One-step reagent-based organic extraction is a very
effective method for purifying RNA from a wide variety of
cell and tissue types. Many protocols use a phenol and
guanidine isothiocyanate mixture to disrupt cells and
dissolve cell components while maintaining the integrity
of the nucleic acids by protecting them from RNases.
Guanidine isothiocyanate is a chaotropic salt that protects
RNA from endogenous RNases (Biochemistry 18:5294
(1979)). Typically, chloroform then is added and the
mixture is separated into aqueous and organic phases by
centrifugation. RNA remains exclusively in the aqueous
phase in the presence of guanidine isothiocyanate, while
DNA and protein are driven into the organic phase and
interphase. The RNA is then recovered from the aqueous
phase by precipitation with isopropyl alcohol.
This process is relatively fast and can yield high levels
of RNA, but requires the use of toxic chemicals and
may result in higher DNA carryover compared to other
techniques. Residual guanidine, phenol, or alcohol can
also dramatically reduce cDNA synthesis efficiency.
With most silica bead or filter–based methods, samples
are lysed and homogenized in the presence of guanidine
isothiocyanate. After homogenization, ethanol is added to
the sample, and RNA is bound to silica-based beads or
filters and impurities are effectively removed by washing
(Proc Natl Acad Sci USA 76:615 (1979)). The purified total
RNA is eluted in water.
This method is even less time-consuming than organic
extractions and does not require phenol. The RNA yields
may not be quite as high, but the purity with regards to
protein, lipids, polysaccharides, DNA, and purification
reagents is generally better. Guanidine and ethanol
carryover due to incomplete washing can still occur
and would have the same deleterious effects on cDNA
synthesis efficiency.
26
Lastly, methods combining organic lysis with silica columns
can offer the benefits of good sample lysis with the ease,
speed, and purity of silica-binding methods.
Assessing RNA quality
In assessing RNA quality and quantity, there are a few
key points to focus on. Ensure that the A260/A280 ratio is
between 1.8 and 2.0. A ratio below 1.8 can indicate protein
contamination, which can lower reaction efficiency. The
A260/A230 ratio is helpful in evaluating the carryover of
components containing phenol rings such as the chaotropic
salt guanidine isothiocyanate and phenol itself, which are
inhibitory to enzymatic reactions. Assess RNA integrity on
a denaturing gel or on an instrument such as the Agilent
Bioanalyzer® system (Figure 17).
Figure 17. Agilent Bioanalyzer ® system trace and gel image displaying RNA integrity. Intact mammalian total RNA shows two bands or
peaks representing the 18S and 28S rRNA species. In general, the 28S
rRNA is twice as bright (or has twice the area under the peak in the
Bioanalyzer ® system trace) as the 18S rRNA.
The Agilent Bioanalyzer® system takes RNA quality
determination one step further with the assignment
of a RIN (RNA integrity number) value. The RIN value is
calculated from the overall trace, including degraded
products, which in general is better than assessing the
rRNA peaks alone.
Researchers are then able to compare RIN values for RNA
from different tissue types to assess quality standardization
and maintenance of consistency.
Experimental design
Quantitation accuracy
For quantitation of RNA, fluorescent dyes such as
RiboGreen® and PicoGreen® dyes are superior to UV
absorbance measurements because they are designed
to have higher sensitivity, higher accuracy, and highthroughput capability. UV absorbance measurements
cannot distinguish between nucleic acids and free
nucleotides. In fact, free nucleotides absorb more at
260 nm than do nucleic acids. Similarly, UV absorbance
measurements cannot distinguish between RNA and DNA
in the same sample. In addition, contaminants commonly
present in samples of purified nucleic acid contribute to UV
absorbance readings. Finally, most UV absorbance readers
consume a considerable amount of the sample during the
measurement itself. With the wide variety of fluorescent
dyes available, it is possible to find reagents that overcome
all of these limitations: dyes that can distinguish nucleic
acids from free nucleotides, dyes that can distinguish DNA
from RNA in the same sample, and dyes that are insensitive
to common sample contaminants. The Qubit® Quantitation
Platform uses Quant-iT™ fluorescence technology, with
advanced fluorophores that become fluorescent upon
binding to DNA, RNA, or protein. This specificity enables
more accurate results than with UV absorbance readings,
because Quant-iT™ Assay Kits only report the concentration
of the molecule of interest (not contaminants). And, in
general, quantitation methods using fluorescent dyes are
very sensitive and only require small amounts of sample.
In-solution DNase reactions have traditionally required
heat-inactivation of the DNase at 65°C. Free magnesium,
required for the reaction, can cause magnesium-dependent
RNA hydrolysis at this temperature. DNA-free™ and TURBO
DNA-free™ kits help circumvent these problems by using a
novel DNase inactivation reagent. In addition to removing
DNase from reactions, the inactivation reagent also binds
and removes divalent cations from the reaction buffer. This
alleviates concerns about introducing divalent cations into
RT-PCR reactions where they can affect reaction efficiency.
2
Genomic DNA carryover in expression
studies
Previously, we described how primer design was the
first step toward eliminating DNA amplification in a realtime RT-PCR reaction. DNase treatment of the sample
at the RNA isolation stage is a method by which DNA
can be controlled at the source. In addition to traditional
DNase I enzyme, we offer super-active TURBO™ DNase,
which is catalytically superior to wild type DNase I. It can
remove even trace quantities of DNA, which can plague
RT-PCR reactions. DNase treatment can occur either in
solution or on column, depending on the isolation method.
On-column DNase treatments are common with silica
matrix extraction, and, unlike in-solution treatments,
they do not need to be heat-inactivated in the presence of
EDTA, because salt washes remove the enzyme itself. The
drawback is that on-column reactions require much more
enzyme.
lifetechnologies.com
27
Experimental design
2.5 Reverse transcription considerations
Reverse transcriptases
Most reverse transcriptases employed in qRT-PCR are
derived from avian myeloblastosis virus (AMV) or Moloney
murine leukemia virus (M-MLV). Native AMV reverse
transcriptase is generally more thermostable than M-MLV,
but produces lower yields. However, manipulations of
these native enzymes have resulted in variants with ideal
properties for qRT-PCR. An ideal reverse transcriptase will
exhibit the following attributes:
2
• Thermostability—As discussed earlier, secondary
structure can have a major impact on the sensitivity
of a reaction. Native RTs perform ideally between
42°C and 50°C, whereas thermostable RTs function
at the higher end of (or above) this range and allow
for successful reverse transcription of GC-rich
regions.
• Reduced RNase H activity—The RNase H domain
is present in common native reverse transcriptases
and functions in vivo to cleave the RNA strand of
RNA-DNA heteroduplexes for the next stage of
replication. For qRT-PCR applications, RNase H
activity can drastically reduce the yield of full-length
cDNA, which translates to poor sensitivity. Several
RTs, most notably SuperScript® II and III, have been
engineered for reduced RNase H activity.
One-step and two-step qRT-PCR
The choice between one-step and two-step qRT-PCR
comes down to convenience, sensitivity, and assay design.
The advantages and disadvantages of each technique must
be evaluated for each experiment.
In a one-step reaction, the reverse transcriptase and
thermostable DNA polymerase are both present during
reverse transcription, and the RT is inactivated in the
high-temperature DNA polymerase activation stage (the
so-called hot start). Normally, the RT is favored by a buffer
that is not optimal for the DNA polymerase. Thus, one-step
buffers are a compromise solution that provide acceptable
but not optimal functionality of both enzymes. This slightly
lower functionality is compensated by the fact that, using
this single-tube procedure, all cDNA produced is amplified
in the PCR stage.
The benefits of one-step qRT-PCR include the following:
• Contamination prevention—the closed-tube system
prevents introduction of contaminants between the
RT and PCR stages
• Convenience—the number of pipetting steps is
reduced and hands-on time is minimized
28
• High-throughput sample screening—for the reasons
mentioned above
• Sensitivity—one-step reactions may be more
sensitive than two-step reactions because all the
first-strand cDNA created is available for real-time
PCR amplification
The drawbacks of one-step qRT-PCR include:
• Increased risk of primer-dimer formation—forward
and reverse gene-specific primers, present from the
start in one-step reactions, have a greater tendency
to dimerize at the 42–50°C reverse transcription
conditions. This can be especially problematic in
reactions that use DNA-binding dyes for detection
• cDNA is not available for other real-time PCR
reactions—one-step reactions use all the cDNA from
the RT step, so if the reaction fails, the sample is lost
In two-step qRT-PCR, the reverse transcription is performed
in a buffer optimized for the reverse transcriptase. Once
complete, approximately 10% of the cDNA is transferred
into each real-time PCR reaction, also in its optimal buffer.
The benefits of two-step qRT-PCR include:
• cDNA may be archived and used for additional realtime PCR reactions—two-step qRT-PCR produces
enough cDNA for multiple real-time PCR reactions,
making it optimal for rare or limited samples
• Sensitivity—two-step reactions may be more
sensitive than one-step reactions because the RT
and real-time PCR reactions are performed in their
individually optimized buffers
• Multiple targets—depending on the RT primers used,
you can interrogate multiple targets from a single
RNA sample
The drawbacks of two-step qRT-PCR include:
• RT enzymes and buffers can inhibit real-time
PCR— typically, only 10% of the cDNA synthesis
reaction is used in real-time PCR, because the RT
and associated buffer components may inhibit the
DNA polymerase if not diluted properly. The specific
level of inhibition will depend on the RT, the relative
abundance of the target, and the robustness of the
amplification reaction.
• Less convenient—two-step reactions require more
handling and are less amenable to high-throughput
applications
• Contamination risk—increased risk of contamination
due to the use of separate tubes for each step
Experimental design
RNA priming strategies
Reverse transcription is typically the most variable portion
of a qRT-PCR reaction. The first-strand synthesis reaction
can use gene-specific, oligo(dT), or random primers
(Figure 18), and primer selection can play a large role in
RT efficiency and consistency and, consequently, data
accuracy.
Random primers are great for generating large pools of
cDNA, and therefore can offer the highest sensitivity in realtime PCR. They are also ideal for non-polyadenylated RNA,
such as bacterial RNA. Because they anneal throughout
the target molecule, degraded transcripts and secondary
structure do not pose as much of a problem as they do with
gene-specific primers and oligo(dT) primers.
While increased yield is a benefit, data has shown that
random primers can overestimate copy number. Employing
a combination of random and oligo(dT) primers can
sometimes increase data quality by combining the benefits
of both in the same RT reaction. Random primers are used
only in two-step qRT-PCR reactions.
Oligo(dT) primers are a favorite choice for two-step
reactions because of their specificity for mRNA and
because many different targets can be analyzed from the
same cDNA pool when they are used to prime reactions.
However, because they always initiate reverse transcription
at the 3� end of the transcript, difficult secondary structure
may lead to incomplete cDNA generation. Oligo(dT)
priming of fragmented RNA, such as that isolated from
formalin-fixed, paraffin-embedded (FFPE) samples, may
also be problematic. Nonetheless, as long as the real-time
PCR primers are designed near the 3� end of the target,
premature termination downstream of this location is not
generally an important concern.
Multiple types of oligo(dT) primers are available. Oligo(dT)20
is a homogeneous mixture of 20-mer thymidines, while
oligo(dT)12–18 is a mixture of 12-mer to 18-mer thymidines.
Anchored oligo(dT) primers are designed to avoid poly(A)
slippage by annealing at the 3� UTR/poly(A) junction.
Choosing the best oligo(dT) primer may depend in part
on the reaction temperature. More thermostable RTs may
perform better with longer primers, which remain more
tightly annealed at elevated temperatures compared to
their shorter counterparts. Oligo(dT) primers are not
recommended if 18S rRNA is used for normalization.
Sequence-specific primers offer the greatest specificity
and have been shown to be the most consistent of the
primer options for RT. However, they do not offer the
flexibility of oligo(dT) and random primers, in that they only
produce a cDNA copy of the target gene product. Because of
this, gene-specific primers are typically not the best choice
for studies involving scarce or precious samples. One-step
qRT-PCR reactions always employ a gene-specific primer
for first-strand synthesis, whereas other primer options
are compatible with two-step reactions.
2
Each primer type presents unique theoretical benefits and
drawbacks. In addition, individual targets may respond
differently to one primer choice over another. Ideally, each
primer option should be evaluated during the initial assay
validation stage to determine which provides optimal
sensitivity and accuracy.
Factors influencing reverse transcription
efficiency
The RT stage of a qRT-PCR reaction is less consistent
than the PCR stage. This is due to a combination of
factors associated with the starting sample, which the
thermostable DNA polymerase isn’t normally tested with.
These factors include:
Differences in RNA integrity: The degradation level of
a particular RNA sample has a direct impact on the
percentage of mRNA target that is converted into cDNA and
therefore quantified. Depending on the first-strand primer
used, degradation may prevent the RT from creating cDNA
that corresponds with full-length target amplicon. The
lower the RT efficiency, the less sensitive the PCR assay
will be. Efficiency variations that are not normalized can
result in inaccurate conclusions.
Figure 18. Graphical representation of commonly used RNA-priming
strategies.
lifetechnologies.com
29
Experimental design
GC content, RNA sample complexity, and RT enzyme
employed: RNA expression level comparisons are more
accurate if the RT is less sensitive to the inevitable
differences between samples. For example, data has
shown that sample complexity alone, meaning all the
background nucleic acid not compatible with the RT primer,
can result in as much as a 10-fold difference in reaction
efficiency. RTs capable of consistent cDNA synthesis in this
background are ideal.
Carryover of organic solvents and chaotropic salts:
Ethanol and guanidine are necessary for RNA capture but
can inhibit enzymatic reactions. Variations in the levels
of these contaminants between RNA samples can affect
sample comparison. Therefore, it is important to use an
RNA isolation method that results in consistently low levels
of these byproducts. We also recommend using a validated
normalizer gene in your real-time PCR reactions.
2.6 Controls
2
Controls in real-time PCR reactions prove that signals
obtained from experimental samples represent the
amplicon of interest, thereby validating specificity. All
experiments should include a no-template control (NTC),
and qRT-PCR reactions should also include a no-reverse
transcriptase (no-RT) control.
NTC controls should contain all reaction components
except the DNA or cDNA sample. Amplification detected
in these wells is due to either primer-dimers or
contamination with completed PCR reaction product. This
type of contamination can make expression levels look
higher than they actually are.
No-RT reactions should contain all reaction components
except the reverse transcriptase. If amplification products
are seen in no-RT control reactions, it indicates that DNA
was amplified rather than cDNA. This can also artificially
inflate apparent expression levels in experimental
samples.
2.7 Normalization methods
Earlier in this guide, we indicated that eliminating
experimental inconsistencies should be a paramount
concern for real-time PCR experimental design. Deviating
from the experimental plan can limit researchers’ ability
to compare data and could lead to erroneous conclusions
if deviations are not accounted for in the analysis. Sources
of experimental variability include the nature and amount
of starting sample, the RNA isolation process, reverse
transcription, and, of course, real-time PCR amplification.
Normalization is essentially the process of neutralizing the
effects of variability from these sources. While there are
individual normalization strategies at each stage of realtime PCR, some are more effective than others. These
strategies include:
Normalizing to sample quantity: Initiating the RNA or DNA
isolation with a similar amount of sample (e.g., tissue or
cells) can minimize variability, but it is only approximate
and does not address biases in RNA isolation.
Normalizing to RNA or DNA quantity: Precise quantification
and quality assessment of the RNA or DNA samples
are necessary, but fall short as the only methods for
normalization, because they do not control for differences
30
in efficiency in reverse transcription and real-time PCR
reactions. For example, minute differences in the levels
of contaminants can affect reverse transcription reactions
and lower amplification efficiency. Any variation in samples
is then amplified during PCR, with the potential to result
in drastic fold-changes unrelated to biological conditions
within samples. Pipetting is also subject to operator
variation, and there is no normalization to compensate for
it in post-purification RNA analysis.
Normalizing to a reference gene: The use of a normalizer
gene (also called a reference gene or endogenous control)
is the most thorough method of addressing almost every
source of variability in real-time PCR. However, for this
method to work, the gene must be present at a consistent
level in all samples being compared. An effective
normalizer gene controls for RNA quality and quantity,
and differences in both reverse transcription and real-time
PCR amplification efficiencies. If the RT transcribes or the
DNA polymerase amplifies a target at different rates in two
different samples, the normalizer transcript will reflect
that variability. Endogenous reference genes, such as a
“housekeeping” gene, or exogenous nucleic acid targets
can be used.
Experimental design
Endogenous controls
Common endogenous normalizers in real-time PCR
include:
• β-actin (ACTB): cytoskeletal gene
• 18S ribosomal RNA (rRNA): ribosomal subunit
• Cyclophilin A (PPIA): serine-threonine phosphatase
inhibitor
• Glyceraldehyde 3-phosphate dehydrogenase
(GAPDH): glycolysis pathway
• β-2-microglobulin (B2M): major histocompatibility
complex
• β-glucuronidase (GUSB): exoglycosidase in lysosomes
• Hypoxanthine ribosyltransferase (HPRT1): purine
salvage pathway
• TATA-Box binding protein (TBP): RNA transcription
Because every real-time PCR experiment is different,
thought and careful planning should go into selecting a
normalizer. Instead of choosing a normalizer based on
what others in the lab use, choose one that best supports
the quantification strategy of the specific target.
The first requirement of a quality normalizer is that it is
similar in abundance to your target gene product. This
is especially important when multiplexing, because
if the normalizer reaction plateaus before the target
Ct is reached, the normalizer itself will impede target
amplification, causing a higher target Ct, thus defeating
its purpose. Alternatively, the normalizer reaction can
be assembled with primer-limited conditions to mimic a
lower expression level. Most TaqMan® Endogenous Control
Assays are available with primer-limited configuration.
Real-time PCR assays for normalizer targets should have a
similar amplification efficiency to assays for experimental
targets; this can be evaluated using a standard curve.
Although correction factors can be applied when comparing
reactions with different efficiencies, accuracy is enhanced
when the reaction efficiencies are close to one another.
Last and most important, expression of the normalizer
should be consistent, regardless of the treatment or
disease state of the sample. This must be experimentally
determined, as shown in Figure 19.
While multiple replicates should be performed to ensure
accuracy, it is clear that cyclophilin A (PPIA), TBP, and HPRT1
would not be good normalizer choices for these treatment
groups because they appear to be down-regulated with
treatment. The expression levels of even the most common
reference genes can be altered under certain conditions
and therefore should always be validated:
Figure 19. Gene expression levels of commonly used endogenous
controls and the importance of normalization. In this example, two
treatment groups and a normal group were analyzed for the expression
levels of common reference genes, which were amplified in addition
to an internal positive control (IPC). The IPC provides a standard for
normal reaction-to-reaction variability. The bars represent up- or downregulation of the normalizer in each treatment group as compared to the
normal sample, which is represented by a ΔCt of 0. The goal is to find a
normalizer that mimics the changes exhibited by the IPC.
2
to be consistent in many cases. However, GAPDH is
upregulated in some cancerous cells, in cells treated
with tumor suppressors, under hypoxic conditions,
and in manganese or insulin-treated samples.
• β-actin is another commonly employed housekeeping
gene because it exhibits moderately abundant
expression in most cell types. However, its
consistency has been questioned in breast epithelial
cells, blastomeres, porcine tissues, and canine
myocardium.
• 18S rRNA constitutes 85–90% of total cellular RNA
and has been shown to be quite consistent in rat
liver, human skin fibroblasts, and human and mouse
malignant cell lines. However, its level of abundance
makes it a problematic normalizer for medium- and
low-expressing targets. Often it is difficult to find a
concentration of RNA at which 18S rRNA provides
a wide enough baseline and also at which the
target of interest generates a Ct within 40 cycles. In
addition, multiplexing may necessitate limiting the
concentration of 18S primers so that the normalizer
doesn’t sequester all the reaction components and
make PCR conditions unfavorable for the target of
interest.
Alternative methods exist that do not rely on the accuracy
of a single reference gene, but rather the geometric mean
of multiple validated normalizers. This use of multiple
consistent normalizers may prove to be a better buffer
• GAPDH is a common normalizer that has been shown
lifetechnologies.com
31
Experimental design
against the Ct fluctuations of any single gene, thereby
increasing assay and sample type flexibility.
Exogenous normalizers
2
Exogenous normalizers are not as commonly employed, but
are a viable alternative if a highly consistent endogenous
normalizer cannot be found for a specific sample set.
An exogenous reference gene is a synthetic or in vitro
transcribed RNA with a sequence that is not present in the
experimental samples. Due to its exogenous origin, it does
not undergo the normal biological fluctuations that can
occur in a cell under different conditions or treatments.
When using exogenous normalizers, the earlier they are
added to the experimental workflow, the more steps they
can control. For example, if an exogenous transcript is
added to the cell lysis buffer, it can be used as a normalizer
for cell lysis, RNA purification, and subsequent RT and
PCR reactions.
An example of an exogenous normalizer is an in vitrotranscribed RNA specific to plant processes, such as a
photosynthetic gene. This could be spiked into mammalian
samples because those cells would not have this same
transcript endogenously.
The drawbacks to employing an exogenous normalizer are:
• It is not endogenous. Maximize the utility of
exogenous normalizers by spiking them into the
workflow early, for example into the cell lysis buffer.
• Accuracy is subject to pipetting variability when
introducing the normalizer.
• Transcript stability may be affected by prolonged
storage and multiple freeze-thaws. Therefore, copy
number should be routinely assessed to ensure it has
not shifted over time.
2.8 Using a standard curve to assess efficiency,
sensitivity, and reproducibility
The final stage of experimental design is validating that
the parameters discussed up to this point result in a highly
efficient, sensitive, and reproducible experiment.
Reaction efficiency
As discussed previously, the overall efficiency of a realtime PCR reaction depends on the individual efficiencies of
the RT reaction and the PCR amplification reaction.
RT efficiency is determined by the percentage of target
RNA that is converted into cDNA. Low conversion rates can
affect sensitivity, but variation in the conversion percentage
across samples is of greater concern.
PCR amplification efficiency is the most consistent factor
in a real-time PCR reaction. However, this amplification
exponentially magnifies slight variations in RT efficiency,
potentially resulting in misleading data. 100% efficiency
corresponds to a perfect doubling of template at every
cycle, but the acceptable range is 90–110% for assay
validation. This efficiency range corresponds to standard
32
curve slopes of –3.6 to –3.1. The graph in Figure 20 shows
the measurement bias resulting solely from differences in
reaction efficiency.
Validating the reaction efficiency for all targets being
compared (e.g., reference genes and genes of interest),
optimizing those efficiencies to be as similar as possible,
and employing efficiency corrections during data analysis
can reduce these effects. These strategies will be discussed
further in the data analysis section.
Reaction efficiency is best assessed through the generation
of a standard curve. A standard curve is generated by
creating a dilution series of sample nucleic acid and
performing real-time PCR. Then, results are plotted
with input nucleic acid quantity on the x-axis and Ct on
the y-axis. Samples used to generate the standard curve
should match (as closely as possible) those that will be
used for the experiment (i.e., the same total RNA or DNA
sample). The dilution range, or dynamic range analyzed for
the standard curve, should span the concentration range
Experimental design
Figure 20. Bias effect caused by different amplification efficiencies.
Four different real-time PCR reactions are shown that range from 70%
to 100% efficiency. The divergence is not necessarily apparent in the
early cycles. However, after 30 cycles, there is a 100-fold difference
in reported copy number between a reaction with 70% efficiency and
one with 100% efficiency. Differences in efficiency become more
important in reactions with more cycles and assays that require greater
sensitivity.
expected for the experimental samples. The slope of the
curve is used to determine the reaction efficiency, which
most scientists agree should be between 90% and 110%.
In Figure 21, standard curves for three different targets
were generated. The parallel nature of the red and blue
curves indicates that they have similar efficiencies and
therefore can be accurately compared at any dilution.
An example of this type of comparison would be when a
normalizer gene is compared against a target gene to adjust
for non-biological variability from sample to sample. The
purple curve, however, becomes less efficient at the lower
concentrations and therefore cannot accurately be used for
comparison purposes at these lower concentrations.
In addition to assessing the experimental conditions and
providing an efficiency value for relative quantitation,
standard curves can also be used to determine whether
the problem with a particular reaction is due to inhibition or
lack of optimization. This will be discussed in more detail in
the Troubleshooting section.
Figure 21. Example standard curve used to evaluate the efficiency of
real-time PCR.
2
Sensitivity and reproducibility
A standard curve with an efficiency within the desirable
window of 90–110% defines the range of input template
quantities that may be measured in the real-time PCR
reaction. To some, sensitivity is measured by how early a
target Ct appears in the amplification plot. However, the
true gauge of sensitivity of an assay is whether a given
low amount of template fits to the standard curve while
maintaining a desirable amplification efficiency. The most
dilute sample that fits determines reaction sensitivity.
The standard curve also includes an R2 value, which is a
measure of replicate reproducibility. Standard curves may
be repeated over time to assess whether the consistency,
and therefore the data accuracy for the samples, is
maintained.
lifetechnologies.com
33
Plate preparation
3
Plate preparation
3.1
Mixing
36
3.2
Plate loading
36
3.3
Plate sealing
36
3.4
Plate insertion
37
3
lifetechnologies.com
35
Plate preparation
3.1 Mixing
It is a good idea to briefly mix, then centrifuge all real-time
PCR reaction components just before assembling reactions.
Gently swirl enzyme-containing master mixes and briefly
(1–2 seconds) vortex other components such as PCR
primer pairs or TaqMan® Assays, and thawed nucleic acid
samples. Since real-time PCR master mixes are typically
denser than the other real-time PCR reaction components,
it is important to adequately mix reaction mixtures,
because, otherwise, precision could be compromised.
Gently inverting tubes a few times or lightly vortexing for
1-2 seconds are highly efficient mixing methods. However,
avoid over-vortexing because it can cause bubbles to form
that could interfere with fluorescence detection, and can
reduce enzyme activity that could reduce amplification
efficiency. Always centrifuge briefly to collect the contents
at the bottom of the container and eliminate any air bubbles
from the solutions.
3.2 Plate loading
3
Base the order of reagent addition into reaction plates or
tubes on the nature of the experiment. For example, if you
are analyzing the expression of 5 genes in 20 different RNA
samples, it would make more sense to dispense assay mix
into the reaction plate or tube first and then add sample.
On the other hand, if you are analyzing the expression of 20
genes in only 5 different RNA samples, it would be easier
3.3 Plate sealing
Plastic PCR plates may be sealed with optical caps or optical
covers, which are thin sheets of plastic with adhesive on
one side. The adhesive is protected by a white backing. On
the ends of the cover are rectangular tabs delineated with
perforations. Use these tabs to handle the cover without
touching the cover itself. Remove the white backing and
place the cover on top of the plate, inside the raised edges.
A square, plastic installing tool is provided with the covers.
Use it to smooth down the cover, especially along the 4
edges at the top of the plate. The edge of the installing tool
may also be used to hold down each end of the cover as the
white strips are removed by the perforation, so as not to
pull up the cover. Inspect the top of the plate to verify that
the cover is in good contact with the plate, especially along
the 4 upper edges.
36
to first dispense the RNA samples, then add assay master
mix. Regardless of the order of reagent addition, plan your
pipetting to avoid cross-contamination of samples and
assays. Mixing fully assembled reactions is not necessary,
because nucleic acids are hydrophilic and will quickly mix
with the assay master mix.
Once the plate has been sealed, hold it up and inspect the
bottom, looking for any anomalies, such as unintended
empty wells, drops of liquid adhering to the walls of the
well, and air bubbles at the bottom of the well. Note any
empty wells or wells with abnormal volumes. Centrifuge
the plate briefly to correct any adherent drop and bottombubble problems.
Plates may be safely labeled along the skirt. Alternatively,
plates are available with bar codes. Do not write on
the surface of the plate over well positions, as this will
interefere with fluorescence excitation and reading. Also,
do not write on the bottom of plates, as the ink could be
transferred to the block in the real-time PCR instrument.
Significant block contamination by colored or fluorescent
substances can adversely affect real-time PCR data.
Plate preparation
3.4 Plate insertion
Once the plate is ready, it may be loaded into the real-time
PCR instrument, following the manufacturer’s instructions.
Plates containing DNA or cDNA template and AmpliTaq
Gold® reagents are very stable at ambient temperature.
They can be routinely stored at room temperature under
normal laboratory lighting for days without ill effect.
Avoid direct exposure of loaded plates to sunlight; this
can compromise the fluorescent dyes in the mixture. If
you need to transport a plate outside, wrap the plate in
aluminum foil to protect it from sunlight.
Fast block are not the same. Standard 96-well plates
and standard tubes have a 0.2 mL capacity, whereas Fast
96-well plates and Fast tubes can accommodate 0.1 mL.
Fast plastics must be used with a Fast block, even if Fast
mode is not being used.
The loading process varies with the model of instrument.
Some instruments have a drawer system: the drawer is
pulled out, the plate is placed in the block or holder and
the drawer is pushed back in. For some instruments, the
plate is placed on an arm, which is computer controlled.
For instruments with interchangeable thermal cycling
blocks, be sure that the block matching the plate type is
installed. Note that a 96-well standard block and 96-well
3
lifetechnologies.com
37
Data analysis
4
Data analysis
4.1
Introduction
40
4.2
Absolute quantification
40
4.3
Comparative quantification
42
4.4
High resolution melting (HRM) curve analysis
44
4.5
Multiplex real-time PCR analysis
46
4
lifetechnologies.com
39
Data analysis
4.1 Introduction
As mentioned in the beginning of the experimental design
section, selecting the right quantification method depends
on the goals of the experiment.
• Absolute quantification determines actual copy
numbers of target, but is also the most laborintensive and difficult form of quantitation. This
method requires thoughtful planning and a highly
accurate standard curve. Absolute quantitation is
often used for determining viral titer.
• Comparative quantification still requires careful
planning, but the data generated are for relative
abundance rather than exact copy number. This is
the method of choice for gene expression studies and
offers two main options for quantification: ΔΔCt and
standard curve quantification.
4.2 Absolute quantification
Absolute quantification is the real-time PCR analysis of
choice for researchers who need to determine the actual
copy number of the target under investigation. To perform
absolute quantification, a target template solution of
known concentration is diluted over several orders of
magnitude, amplified by real-time PCR, and the data are
used to generate a standard curve in which each target
concentration is plotted against the resulting Ct value.
The unknown sample Ct values are then compared to this
standard curve to determine their copy number.
Standard curve generation—overview
4
With an absolute standard curve, the copy number of the
target of interest must be known. This dictates that, prior
to curve generation, the template is accurately quantified.
Figure 22 highlights a standard curve setup. A sample of
the target of interest is accurately determined to contain
2 x 1011 copies. The sample is diluted 10-fold eight times,
down to 2 x 103 copies, and real-time PCR is performed on
each dilution, using at least three replicates. The resulting
standard curve correlates each copy number with a
particular Ct. The copy number values for the unknown
samples are then derived by comparison to this standard
curve. The accuracy of the quantification is directly related
to the quality of the standard curve.
In absolute quantification, consider the following:
1. The template for standard curve generation as well as
the method used to quantify that template is the foundation for the experiment. Pipetting accuracy for the
dilution series is essential. Also remember that realtime PCR sensitivity amplifies minute human error.
2. Similar reverse transcription and PCR efficiencies for
the target template and dilution series of the actual
samples are critical.
Template choice for standard curve
generation
As mentioned, the template used for absolute standard
curve generation will determine the accuracy of the data.
Although you may need homogeneous, pure template
for initial copy number determination, for generation of
the standard curve it is best to use target template that
is as similar to the experimental samples as possible.
Because steps such as nucleic acid isolation and reverse
transcription play a role in reaction dynamics, this includes
subjecting it to most of the same processing steps as the
experimental samples. The following types of template
have been used as absolute quantification standards:
1. DNA standards: PCR amplicon of the target of
interest, or plasmid clone containing the target of
interest.
Pros: Easy to generate, quantify, and maintain stability with
proper storage
Cons: Cannot undergo the reverse transcription step of
qRT-PCR, which can impact reaction efficiency significantly
Figure 22. Workflow for standard curve setup for absolute
quantification.
40
Data analysis
Figure 23. Schematic diagram of the in vitro transcription protocol.
The PCR product generated from the real-time PCR itself can be
reamplified with a 5� T7 promoter-containing sequence and a 3�
poly(T)-containing reverse primer. The in vitro transcription reaction
produces polyadenylated sense mRNA. After purification, it will be
accurately quantified and diluted for the standard curve.
Figure 24. Plate setup for standard curve generation. When
calculating the average threshold cycle (Ct) value, the highest and
lowest values obtained from replicate reactions can be discarded.
2. RNA standards: In vitro–transcribed RNA of the target
of interest (Figure 23).
measurement. Another precise method of quantification is
digital PCR.
Pros: Incorporates RT efficiency and mimics the target of
interest most similarly
With the copy number determined, unrelated yeast tRNA
can be added at a 1:100 cRNA to tRNA ratio to mimic the
normal background of biological samples. This standard is
then diluted over at least 5 to 6 orders of magnitude for use
in Ct determination by real-time PCR.
Cons: Time-consuming to generate and difficult to
maintain accuracy over time due to instability
The homogeneous nature of each of the RNA and DNA
standards means that they will often exhibit higher
efficiencies than experimental samples. Therefore,
background RNA, such as yeast tRNA, can be spiked
into the standard template to create a more realistic
heterogeneous environment and help to balance reaction
efficiency. It has been shown that background RNA can
suppress the cDNA synthesis rate as much as 10-fold.
Standard curve application—cRNA
To demonstrate how the recommendations for an absolute
quantification standard curve should be applied, this
section will walk step by step through the creation of a
cRNA standard curve for this method of quantification.
T7 RNA polymerase can be used to generate a
homogeneous pool of the transcript of interest from a
plasmid or a PCR product.
Because it has an extended limit of detection and better
accuracy, fluorometric measurement of complementary
RNA (cRNA) is recommended over UV absorbance
Pipetting inaccuracies can have a significant effect on
absolute quantification data. Appropriate precautions can
minimize this effect. As can be seen in the plate setup
in Figure 24, three separate cRNA dilution series are
prepared, and each dilution within each series is amplified
in duplicate. It is important that the dilution series
encompass all possible template quantities that may be
encountered in the experimental samples. For example,
the lowest point in the standard curve should not contain
100 template copies if it is possible that an unknown test
sample may contain only 10 copies.
4
For each dilution, six Ct values will be obtained. The high
and low Ct values are discarded, and the remaining four
Ct values are averaged. If we focus on the 10-4 dilution in
this example (Figure 24), we can see how the Ct values
for a given sample vary by as many as 2 cycles. This is
minimized by assigning this dilution, which corresponds to
a particular copy number, the average Ct value of 21.4.
lifetechnologies.com
41
Data analysis
4.3 Comparative quantification
Comparative quantification, while still technically
challenging, is not quite as rigorous as absolute
quantification. In this technique, which applies to most
gene expression studies, the expression level of a gene
of interest is assayed for up- or down-regulation in a
calibrator (normal) sample and one or more experimental
samples. Precise copy number determination is not
necessary with this technique, which instead focuses on
fold change compared to the calibrator sample.
Here we outline the common methods of comparative
quantification and how variability is controlled in each.
Comparative quantification algorithms—
ΔΔCt
The ΔΔCt method is a very popular technique that compares
results from experimental samples with both a calibrator
(e.g., untreated or wild type sample) and a normalizer
(e.g., housekeeping gene). With this method, Ct values
for the gene of interest (GOI) in both the test sample(s)
and calibrator sample are now adjusted in relation to a
normalizer (norm) gene Ct from the same two samples.
The resulting ΔΔCt value is incorporated to determine the
fold difference in expression.
Fold difference = 2-ΔΔCt
Comparative quantification algorithms—
ΔCt
ΔCt sample - ΔCt calibrator = ΔΔCt
This is comparative quantification in its most basic form.
A Ct is obtained for expression of the gene of interest
from both a test and calibrator sample, and the difference
between them is the ΔCt. The fold difference is then simply
2 to the power of ΔCt.
Fold difference = 2ΔCt
This basic method is inadequate because it does not
control for differences in sample quantity, sample quality,
or reaction efficiency (Figure 25).
4
Ct GOIs - Ct norms = ΔCt sample
Ct GOIc - Ct normc = ΔCt calibrator
The requirement for the ΔΔCt method is that the efficiencies
for both the normalizer and target gene are identical. Of
course, the obvious question is: what range of deviation
is acceptable? The way to determine this is to generate
a standard curve for both the normalizer gene and target
gene of interest using the same samples (Figure 26). The
average ΔCt between the normalizer and target gene
can be obtained for each dilution. The value itself is not
important; it is the consistency of that value across each
dilution that matters.
To some researchers, this small deviation in efficiencies
still opens the door to inaccuracies. Employing a correction
for both the gene of interest and the normalizer minimizes
the effects of amplification efficiency variation.
Comparative quantification algorithms—
standard curve method
Figure 25. Comparative quantification of expression in a treated
sample and calibrator. The treated sample and calibrator were run in
duplicate; the calibrator Ct was 6 and it was 12 for the treated sample.
According to the ΔCt method, the calculated relative expression level
of the target gene in the treated sample is 64-fold lower than that of
the calibrator. However, because a normalizer was not employed, the
effects of experimental variability on this result is unknown, and thus
the conclusion cannot be considered trustworthy.
42
The standard curve method of comparative quantification
employs the Ct difference between the target gene in the
test and calibrator samples, normalized to the reference
gene Ct values and adjusted for minute variations in
amplification efficiency. A standard curve to determine
amplification efficiency for both the normalizer and the
gene of interest is necessary with this method, but it does
avoid the assumptions made with previous techniques. A
requirement of this technique is that the normalizer gene
be the same across all samples in the analysis.
Data analysis
In Figure 27,
Fold difference = (Etarget)ΔCt target /(Enormalizer)ΔCt normalizer
E = efficiency from standard curve E = 10[-1 /slope]
ΔCt target = Ct GOI c - Ct GOI s
ΔCt normalizer = Ct norm c- Ct norm s
Fold difference equation derived from M.W. Pfaffl in A-Z of Quantitative PCR.
In order to capture the most accurate efficiency value
for the calculation, choose the calibrator sample for the
standard curve carefully. This calibrator sample should
undergo the same purification procedure, be involved in
the same reactions, and have similar complexity to the
experimental samples. Therefore, the perfect calibrator
sample is one of the heterogeneous samples containing the
target of interest—for example, total RNA from the cell line
or tissue being studied. Keep in mind that any differences
between the calibrator sample and the experimental
samples may result in an inaccurate efficiency correction
and therefore inaccurate calculations for fold-changes in
gene expression. Because copy number is irrelevant, the
dilutions or values given to those dilutions can be arbitrary.
While the same setup for the amplification curves from the
ΔΔCt method are used in this technique, efficiency values
from standard curves (ideally run on the same plate) are
now incorporated to adjust the normalizer and gene-ofinterest (GOI) Ct values. Efficiencies are derived from both
slopes (Figure 27).
In summary, the first step in choosing a quantification
strategy is to determine whether absolute or relative
quantification will best address the questions to be
answered. If you need to know how many target molecules
are in the sample, you’ll need to generate a precise
standard curve using known quantities of target template.
In most cases, relative quantification will be the method
of choice. The ΔCt method does not employ a normalizer,
while the ΔΔCt method involves one or more reference
genes to normalize for real-time PCR processing variability.
With a normalizer employed, one has the option of foldchange calculations, with or without a reaction-efficiency
adjustment.
Figure 26. Relative efficiency plot. The ΔCt ranges from 2.0 to 2.5.
When plotted against dilution or input amount of RNA, a slope is
obtained. While a perfectly flat line (slope = 0) indicates identical
efficiency across all input concentrations, a slope of <0.1 is generally
considered acceptable when employing the ΔΔCt method.
4
Figure 27. Efficiency values are obtained from standard curves to
adjust the normalizer and gene-of-interest C t values. HeLa RNA was
diluted over 6 orders of magnitude, and real-time PCR was performed
to generate standard curves for both the normalizer and gene of
interest (GOI).
lifetechnologies.com
43
Data analysis
4.4 High resolution melting (HRM) curve analysis
High resolution melting curve (HRM) analysis is a
novel, homogeneous, closed-tube post-PCR method
for identifying SNPs, novel mutations, and methylation
patterns. HRM analysis is a more sensitive approach
than traditional melt curve profiling in which doublestranded DNA is monitored for the temperature at which
it dissociates into single-stranded DNA. This temperature
is known as the Tm, or melting temperature, of the product.
High resolution melting curve profiling requires a realtime PCR instrument with upgraded optical and thermal
capabilities as well as analysis software for extremely fast
data acquisition and highly accurate thermal control and
consistency. The QuantStudio® 12K Flex, QuantStudio®
6/7, ViiA™ 7, 7900HT Fast, 7500 Fast, StepOnePlus™, and
StepOne™ Real-Time PCR Systems, Rotor-Gene® 6000
System (Corbett Life Science), and LightCycler® 480
System (Roche Diagnostics) are commercially available
instruments currently set up to perform HRM analysis.
4
In HRM analysis, approximately 80–250 bp fragments of
genes are amplified using PCR in mixtures that contain
a high-performance double-stranded DNA (dsDNA)–
binding dye. The MeltDoctor™ HRM Master Mix employs
MeltDoctor™ HRM Dye, a thermo-stabilized form of the
fluorescent SYTO® 9 dye with low background fluorescence
and high brightness in the presence of double-stranded
DNA. After 40 cycles, the amplification products are
annealed and highly fluorescent. When the HRM analysis
begins, the real-time PCR instrument slowly ramps
the temperature higher while simultaneously recording
fluorescence data from the amplicons. As the PCR products
begin to denature (or melt), their fluorescence will slowly
decrease due to the fluorescent dye being released, until
the temperature approaches the PCR product’s Tm. Very
close to the Tm, a dramatic decrease in fluorescence is
observed as the sample transitions from double-stranded
to single-stranded DNA (Figure 28).
HRM analysis applications
The most widely used HRM analysis application is gene
scanning. Gene scanning is the search for the presence
of unknown variations in PCR amplicons prior to, or
as an alternative to, sequencing. Mutations in PCR
products are detectable by HRM analysis because they
lead to changes in the shape of DNA melting curves.
When amplified and melted, heteroduplex DNA samples
show melting curves with different profiles than those
derived from homozygous wild type or mutant samples.
44
Figure 28. Characteristics of the melt curve profile for a PCR
amplicon. Specific DNA sequences have characteristic melt-curve
profiles. Mutations can be detected as either a shift in Tm or a change in
shape of the melt curve. In contrast to traditional melt curve analysis,
HRM can distinguish between amplicons with just a single-nucleotide
difference. This technique has opened the door to many new applications for dsDNA-binding dyes.
Some common applications of HRM analysis include:
•
•
•
•
•
•
Gene scanning (mutation discovery)
Mutation analysis
Single-nucleotide polymorphism (SNP) detection
Heterozygosity studies
Species identification
Methylation analysis
These applications traditionally required a unique
fluorogenic probe for each target, which was expensive,
time-consuming to design, and inflexible. HRM, using
dsDNA-binding dyes, offers the same capabilities as
probe-based analysis in a more inexpensive and flexible
format.
While many applications exist for HRM, discrimination at
the single-nucleotide level is one of the more challenging,
due to the minute Tm shifts that must be detected.
HRM analysis chemistry
In addition to a specialized instrument and software, HRM
analysis requires dsDNA-binding dyes that are capable of
distinguishing the melting points of amplicons that differ
by a single nucleotide.
Data analysis
Dyes that have been successfully used for HRM analysis
include:
• MeltDoctor™ HRM Dye (Thermo Fisher Scientific)
• Molecular Probes® SYTO® 9 dye (Thermo Fisher
Scientific)
• LCGreen® and LCGreen® Plus+ reagents (Idaho
Technology)
• EvaGreen® dye (Biotium Inc.)
Keys to successful HRM analysis assays
• Set an appropriate ramp rate for the instrument. This
will typically result in 10–20 data collection points per
degree C, which is needed for HRM.
• Keep amplicons short for highest sensitivity.
Compared to larger amplicons, those around 100 bp
will allow easier detection of single-nucleotide melt
events.
• Ensure specificity of the PCR amplicon. Mispriming
products and primer-dimers can complicate data
interpretation. Primer concentrations lower than
200 nM, MgCl2 in the 1.5 mM to 3 mM range, and use
of a hot-start DNA polymerase will help to obtain
high specificity. Assess mispriming using a standard
low resolution melt curve. No-template control (NTC)
melt curves are important for evaluating specificity.
• Avoid amplifying across regions that could contain
variations other than those of interest. Check for
species homology, exon/intron boundaries, splice
sites, and secondary structure and folding of the PCR
product.
• Maintain similar fluorescent plateaus, and therefore
similar PCR product quantities, for all targets
being analyzed. Differences in quantity between
the samples being compared can affect melting
temperatures and confound HRM analysis. Starting
with similar amounts of template can be helpful.
• Ensure that enough template is used in the reaction.
In general, Ct values should be below 30 to generate
sufficient material for accurate melt analysis.
• Provide a sufficient melt data collection window. For
example, the window should have a range of 10°C
on either side of the melting temperature of the
amplicon (Tm ± 10°C). Sufficient pre-and post-melt
temperature data are required for accurate curve
normalization and high replicate correlation.
• It is also recommended, for some instruments, to
insert a pre-hold step at 50°C following amplification
(but prior to melt) to ensure that all products
have reassociated and to encourage heteroduplex
formation. Use a mix, such as MeltDoctor™ HRM
Master Mix, that offers sensitive and unbiased
amplification of the gene fragments of interest.
4
lifetechnologies.com
45
Data analysis
4.5 Multiplex real-time PCR analysis
Multiplexing is a technique in which more than one target
is analyzed in the same real-time PCR reaction. Each
target is distinguished by a particular dye, conjugated
to the fluorogenic probe or primer pair specific for that
target. Typically, multiplex reactions are used to amplify
a normalizer gene and a gene of interest in the same
reaction.
Theoretically, the number of targets that can be amplified
in a given reaction is limited only by the number of
available spectrally distinct dyes and the number of dyes
that can be excited and detected by the real-time PCR
instrument. However, other experimental hurdles exist:
the different primer pairs and/or probes in a reaction must
not interact with each other, and these primers and probes
have to share available PCR components, such as dNTPs
and thermostable DNA polymerase. While more timeconsuming to optimize, multiplexing offers several distinct
advantages:
4
• Less variability, more consistency. Multiplexing a
normalizer and gene of interest in the same tube
eliminates well-to-well variability that can arise if
those same two targets were amplified in different
(even adjacent) wells.
• Less reagent usage, less cost. Multiplexing requires
fewer reactions to analyze the same number of
targets.
• Higher throughput. More targets can be analyzed per
real-time PCR run and per sample.
Keys to a successful multiplex assay
A successful multiplex reaction must take many factors
into consideration, including:
• Primer and probe design
• Reagent optimization (including primer
concentration, target abundance, reaction
components, and fluorophore/quencher
combinations)
• Validation of the multiplex assay
Primer and probe design
Primer and probe design is arguably the most critical factor
in a multiplex assay. As reaction complexity increases, so
does the probability that primers and probes will dimerize
or that competition for reaction components will limit
the amplification of one or more targets. The following
are particularly important factors that will maximize
performance while minimizing competitive effects:
• Keep amplicons short. Designing primers to amplify
46
a segment ranging from 60 bp to 150 bp will enhance
reaction efficiency.
• Design primers with Tm values within 1°C of each
another. Remember, all primers and probes will be
annealing at one temperature. Mismatched Tm values
will result in an efficiency bias.
• Perform BLAST® searches with primer and probe
designs to ensure their specificity for the targets of
interest.
• Use primer design software to determine whether
any of the primer or probe sequences are prone
to dimerize. One such free program, AutoDimer
(authored by P.M. Vallone, National Institute of
Standards and Technology, USA), can analyze all the
primer designs in a given multiplex reaction for their
propensity to dimerize in any combination. Another
program, Multiple Primer Analyzer, is available on the
Thermo Scientific™ website.
Reagent optimization
A critical concern in multiplex reactions is the competition
for reagents among the different targets being amplified.
Ensuring a high efficiency of amplification requires
either reducing the amount of primers or increasing
the concentrations of all components, or both. Most
optimization experiments begin by testing different primer
concentrations.
Primer concentration and target
abundance
Not all amplicons in a multiplex reaction are present in the
same numbers nor amplify at the same efficiency. Limiting
the primer concentration for those targets that are easier
to amplify or more abundant can level the playing field. For
example, if β-actin (a high-copy normalizer) is multiplexed
with a low-abundance target, it may exhaust the shared
reaction components in the early cycles. Reducing the
amount of β-actin primers limits its rate of amplification,
allowing the less-abundant target to be amplified in an
unhindered manner. In general, for higher-abundance
targets, you should use the lowest primer concentration
that does not delay Ct values.
Reaction component concentrations
Every multiplexing reaction is different, but adjusting primer
concentrations is most likely to achieve Ct values that are
consistent between singleplex and multiplex reactions.
Other alternatives include increasing the amounts of Taq
DNA polymerase, magnesium, and dNTPs and increasing
Data analysis
the buffer strength to try to boost the sensitivity and
amplification efficiency of all targets involved.
Fluorophore/quencher combinations
The reporter fluorophores in a multiplex reaction must be
spectrally distinct so that the fluorescence signal arising
from each is detected in a single channel. With compatible
dyes, the real-time PCR instrument excitation and emission
optics are able to filter the wavelengths so that little, if any,
fluorescence is attributed to the wrong fluorophore (such
interference is also called cross-talk).
each dilution. Compare the resulting efficiencies for each
target with their corresponding singleplex real-time PCR
reaction efficiencies. Ideally, there will be little change
between single and multiplex reaction standard curves. If
the reaction efficiencies for the multiplexed targets vary
by greater than 5% or fall outside the desirable range of
90-110%, optimization of the primer/probe concentrations
or other components in the multiplex assay will be required.
The Ct values in the multiplexed reaction should be
comparable to those obtained in the singleplex reactions
so that the sensitivity is not compromised.
Similarly, the choice of quencher for each dual-labeled
fluorescent probe becomes more important as the number
of probes being multiplexed increases. Fluorescent
quenchers such as TAMRA™ dye, a common quencher for
FAM™ dye, work by releasing the energy of the fluorophore at
a different wavelength. In a multiplex reaction, quenchers of
this type result in multiple signals at different wavelengths,
which can complicate filtering and possibly data integrity.
Dark quenchers such as NFQ or QSY® quencher, on the
other hand, release energy in the form of heat rather than
fluorescence, and therefore keep the overall fluorescent
background lower. Choose appropriate multiplex dye
combinations based on the detection capabilities of the
instrument you are using.
Validating the multiplex assay
As with singleplex real-time PCR assays, a standard curve
should be completed to assess the reaction efficiencies of
all the targets in a multiplex reaction prior to running the
assay. There are two main stages in this validation process:
4
1. Validating the primers and/or probes for each target
and determining their individual efficiencies. This is
the initial assessment of primer and probe design.
2. Optimizing the efficiency of the overall multiplex assay.
Evaluate each primer and probe set on an individual basis
to determine the designs and conditions that are ideal for
the target. This is accomplished through a dilution series
standard curve, again trying to achieve close to 100%
efficiency. After each primer/probe combination has been
functionally validated, move on to multiplex optimization. It
is important to keep in mind that the singleplex conditions
for primer/probe concentrations may not be optimal when
the targets are multiplexed. When building a multiplex
panel, it is also advisable to add targets one at a time
rather than combining all targets in the first experiment
,if possible.
Using the same standard curve methodology, combine all
primers and probes and perform the multiplex reaction for
lifetechnologies.com
47
Troubleshooting
5
Troubleshooting
5.1
Introduction
50
5.2
Frequently asked questions
59
5
lifetechnologies.com
49
Troubleshooting
5.1 Introduction
Part of implementing an ideal real-time PCR assay involves
optimization to ensure that all parameters of the reaction
are finely tuned for accurate results. Assay validation
accompanied by any required reaction adjustments should
be performed any time a new gene is being studied or
assay parameters are altered. This could involve adjusting
primer concentrations, thermocycling temperatures and
times, and then confirming the parameters through a
standard curve assessment.
annealing and being cleaved in a primer-dimer region is an
extremely rare event. In this case, competition for primers
is the main factor for consideration. Reactions that rely on
double-stranded DNA-binding dyes, on the other hand,
are highly dependent upon primer-dimers being absent,
because the dye would bind to them nonspecifically
and therefore contribute to fluorescence signal being
monitored during the reaction. This in turn shifts the Ct and
skews results.
While optimization does take time, it is time well spent.
The resulting assay will have the highest sensitivity and
dynamic range, a high efficiency (which correlates with
high accuracy), and excellent reproducibility. These factors
all lead to confidence in the data and ultimately results
accepted by the research community.
While the extraneous signal is the most important factor,
competition within a reaction well also has a direct impact
on reaction efficiency. As mentioned earlier, poor reaction
efficiency shrinks dynamic range, which in turn decreases
sensitivity.
Troubleshooting a real-time PCR reaction can seem
daunting. However, assuming proper assay design was
taken into consideration, common real-time PCR difficulties
can be grouped into four main areas:
•
•
•
•
Formation of primer-dimers
Storing primers and probes
Real-time PCR inhibition and poor reaction efficiency
Software analysis settings
Formation of primer-dimers
5
Primer-dimers form when partial sequence homology exists
between the members of the primer pair. If the primers
anneal to each other during the PCR reaction, the Taq DNA
polymerase may be able to extend them and create a product
larger than the original primers and one that is more prone
to anneal erroneously as cycling progresses. Depending
on its length, it is also possible for a primer to fold upon
itself and therefore set up a competitive environment with
the template. Reaction complexity, especially that present
in multiplex reactions, increases the opportunity for these
unwanted interactions to occur.
Primer-dimer formation is one of the most common
problems you will have to troubleshoot during realtime PCR design and validation, but many opportunities
exist to eliminate them from real-time PCR reactions.
Before discussing how this is done, it is first important to
understand why dimer formation should be minimized or
reduced.
It is best to take simple precautions during primer design
to avoid dimerization in the first place. There are several
free tools available to assist with this. One such tool is
AutoDimer (authored by P.M. Vallone, National Institute
of Standards and Technology, USA), which analyzes the
sequences of primer pairs and flags those that theoretically
have a tendency to dimerize.
Although bioinformatics-based primer design can reduce
the likelihood of dimer formation, it is still necessary to
monitor dimerization experimentally.
Determining if primer-dimers are
present
Gel electrophoresis is a great way to visualize primerdimers. Primer-dimers appear as diffuse bands near the
bottom of the gel, usually below 100 bp (Figure 29). During
PCR, there is competition between dimer formation and
template annealing and extension. As template decreases,
primer-dimers often increase.
The downside to gel analysis as the sole method of
validation is that its sensitivity is in the low nanogram
range and therefore may be inconclusive. The advantage of
gel analysis is that the size of the product can help in the
Problems caused by primer-dimers
The effect that primer-dimers can have on a reaction
depends largely on the chemistry being employed.
Fluorogenic probe-based reactions tend not to be
influenced as much by primer-dimers because a probe
50
Figure 29. Agarose gel analysis to investigate primer-dimer formation. Prior to the thermal cycling reaction, the nucleic acid sample was
serially diluted and added to the components of a PCR mix, and the
same volume from each mixture was loaded on an agarose gel. Dimers
appear as diffuse bands at the bottom of the gel.
Troubleshooting
A
Figure 30. Amplification plots and melting profiles highlighting
specific amplification (A) and primer-dimer effects (B). The primerdimer can be identified in (B) by the signal produced by the NTC sample
in the amplification plot, and additional peaks in the melting profile.
B
overall interpretation when dissociation curve (melt curve)
data are also available.
Dissociation curves, also referred to as melt curves, are
a standard part of reaction thermal profiles that employ
double-stranded DNA-binding dyes. A very specific
amplification will result in a single, tight peak on the
dissociation curve for each well on the real-time PCR
plate. Primer-dimers manifest themselves as lowerfluorescence, broader “waves” that indicate melting in
the 70°C range. Peak shape and melting temperature
are attributed to the small and variable sizes of primerdimers. As mentioned in the data analysis section, if there
is any doubt whether primer-dimers are present in a
dissociation curve, compare the observation with the NTC
well. A primer-dimer peak is much more common when
template is absent (Figure 30).
Reducing or removing primer-dimers
If primer-dimers are a concern, there are many options for
reducing or eliminating their occurrence in a reaction.
1. The first is optimization of the thermocycling
conditions, which mainly involves raising the annealing
temperature. In most cases, primers are designed
so that they anneal successfully at 60°C, because
two-step cycling (a 95°C denaturation step that goes
directly to a 60°C annealing and extension step)
facilitates robust amplification.
2. Primer concentration can always be lowered, and even
employing different ratios of forward primer to reverse
primer may help. In most cases, a final concentration
of 200 nM per primer is ideal, but this can be reduced
to 60 nM if necessary.
3. Magnesium is usually best at a concentration of about
3 mM. Primer-dimers are favored at concentrations
above this.
4. If primers were not evaluated for their propensity
toward dimerization, evaluate them and consider
redesigning if necessary. And, as usual, hot-start
DNA polymerases and reaction setup on ice are also
preferable.
5. Ideally, more than one primer set for the same target
should be tested concurrently. This can actually
save much time that would otherwise be spent on
optimization if one of the pairs works immediately.
5
Keep in mind that dimers may be more of a concern in
one-step qRT-PCR reactions due to the lower temperature
of the RT reaction in the presence of the primer pair. Also
note that there are times when primer dimers are not a
concern. For example, if they only appear in the NTC wells,
or if the ΔCt between your samples and the NTC well is >10
(since this means that the contribution of any fluorescence
from the primer dimers to the overall signal is negligible.)
lifetechnologies.com
51
Troubleshooting
Storing primers and probes
A
Although often overlooked, primer and probe storage
can have a major effect on the long-term success and
consistency of a real-time PCR assay. The main factors
that affect primer and probe stability are the storage
temperature, length of time in storage, whether they have
undergone prolonged exposure to light, the concentration
of the stored primer or probe, and the composition of the
storage solution.
Problems caused by poor storage of
primers and probes
Improper storage of primers and probes can cause them
to degrade and lose specificity, which in turn affects the
reaction efficiency. In assays that rely on fluorescently
labeled primers and probes, degraded probe releases
free dye, which increases background and decreases
the signal-to-noise ratio. This can manifest as very
rough amplification curves due to the low fluorescence.
Fluorescent dyes attached to primers and probes can
also undergo photobleaching over time, making them less
detectable in the real-time PCR instrument.
Determining if primer or probe integrity
is compromised
B
The first preventive measure to ensure primer and probe
stability is simple monitoring of the storage time. In many
cases, primers and probes are stable for up to a year (or
more). However, under suboptimal conditions, storagerelated effects may be observed within 6 months.
The best method to evaluate primer integrity is consistent
employment of standard curves. Replicate inaccuracy and
multiple peaks in the dissociation curve, especially if not
seen previously, are common signs that stability is low.
5
In the case of fluorescently labeled probes and primers,
observing a higher-than-normal level of background
fluorescence on the instrument’s multicomponent view is
indicative of probe degradation.
If the fluorescent probe or primer is not degraded but the
dye itself is, an ethidium bromide–stained gel can show
when product is made, but not detected by the real-time
PCR instrument.
Figure 31 shows standard curves highlighting the effects of
poorly stored primers. The amplification plot in Figure 31A is
negatively affected by degraded primers, while the curves in
Figure 31B are what one would expect from properly stored
primers. The melt curve provides additional detail, showing
that multiple nonspecific products are present.
52
Figure 31. Amplification plots showing effects of poorly stored primers (shown by the melt curve and background fluorescence)
(A) vs. properly stored primers (B).
Troubleshooting
Maintaining primer and probe stability
over time
There are four keys to maintaining primer and probe
stability. Lyophilized primers have more flexibility
with respect to storage time and temperature. Once
reconstituted, primers should be kept at –20°C and should
be monitored for signs of decreased functionality beyond a
year or so. For labeled primers and probes, measures that
protect the labels from light (such as the use of opaque
tubes and dark storage) extend their life.
Lastly, primer concentration can have an effect on
stability. Storing primers at a concentration below 10 μM
is not recommended; in fact, primer concentrations of
100 μM are easier to work with in most cases. Primers
and probes should also be stored in aliquots to minimize
freeze-thaw cycles, especially when labeled. Lastly, TE
buffer creates a more stable environment than water.
Moreover, TE that contains 0.1 mM EDTA (compared to
1 mM EDTA in standard TE) is a good choice because of
the sensitivity of some PCR reactions to EDTA that may
be carried over.
NTC amplification
As discussed in the previous section, amplification signal
can be observed in NTC reactions that use double-stranded
DNA binding dyes when primer-dimers form. But there is
another case in which you may see amplification in NTC
wells. For both probe-based and double-stranded DNA
binding dye–based reactions, you can see late amplification
due to contamination. This can be a random event in which
not every NTC will show amplification, and thus this is often
due to pipeting errors. If you see amplification in every NTC
well, then it is likely that one or more of your reagents has
become contaminated. Here are some steps you can take
to prevent/remove contamination:
1. Use clean work spaces, including wiping down
surfaces and reagents with nucleic acid–degrading
solutions as needed.
2. To avoid contamination from previous PCR reactions,
use master mixes containing dUTP and UDG, so that
PCR products from previous reactions are degraded.
3. To determine which reagent is problematic, swap out
the reagent with a new tube or different source when
possible.
4. When possible, set up reactions in a different location,
especially when plasmid controls are in use (which
can be very easily spread but hard to remove).
Real-time PCR inhibition and poor
reaction efficiency
At this point, the importance of reaction efficiency
should be well understood among the critical factors in
real-time PCR assay design and optimization. To review,
a standard curve (generated from a dilution series of the
target template) is used to obtain an efficiency value.
This efficiency value acts as a marker of overall reaction
“health”. Low efficiency leads to one diagnosis, and high
efficiency, to a different diagnosis. Steps to improve
these scenarios will be quite different. While the ideal
reaction efficiency is 100%, the widely accepted range
is 90–110%.
Causes of high or low efficiency
An efficiency above 110% indicates that inhibition is
occurring in the reaction. Causes of inhibition include poor
RNA or DNA quality, high template concentration, and
carryover from nucleic acid purification. For example, if
silica columns are employed, chaotropic salts used to bind
the DNA or RNA might inhibit the Taq DNA polymerase. If
organic extractions are used, phenol and ethanol carryover
would have the same effect.
Inhibition is normally less common than poor reaction
efficiency, which is an efficiency below 90%. Causes
include suboptimal reagent concentrations (mainly
primers, magnesium, and Taq DNA polymerase, especially
for multiplex experiments). Other factors contributing to
poor reaction efficiency include primer Tm values being
more than 5°C different from each other and suboptimal
thermocycling conditions. As mentioned earlier,
competition for resources in the tube can produce an
inefficient reaction.
Whether an efficiency for a target is high or low, matching
efficiencies between a target and a normalizer is quite
important for maintaining data accuracy. For example, an
efficiency of 95% for target A and 96% for normalizer B is
more desirable than an efficiency of 99% for target A and
92% for normalizer B.
lifetechnologies.com
5
53
Troubleshooting
ethanol from ethanol precipitations or to employ
additional on-column washes to remove chaotropic
salts from silica-based purifications.
Poor efficiency is resolved through assay optimization.
Sometimes the process can be relatively pain-free,
but in other situations, as assay complexity increases,
optimization can be laborious.
Raising the magnesium concentration as high as
6 mM can improve efficiency in situations where
a single product is amplified, but lowering the
magnesium may help in cases where competition is
occurring.
In some circumstances, mainly multiplexing reactions,
a primer and probe optimization matrix is necessary.
In this application, different ratios or concentrations
of forward primer to reverse primer, and sometimes
even probe ratios, are tested to find the ideal
concentration combination for a given assay. The ideal
primer concentration can be anywhere from 100 to
600 nM, while probe concentrations can be between
100 nM and 400 nM.
Ensure that the thermal cycling conditions (especially
the annealing temperature) are favorable based on
the Tm values of the primers, and that the primers are
designed to have similar Tm values.
3.
4.
Figure 32. Template dilution series to assess reaction efficiency.
Dilutions with earlier Ct values exhibit compressed Ct values and abnormal curve shapes. As the template becomes more dilute, inhibition
vanishes and the curves take on the more characteristic exponential
phase shape.
5.
The problem with skewed efficiency
Efficiencies outside the range of 90–110% may artificially
skew results and lead to false conclusions, mainly because
targets for comparison will have different efficiencies. In
addition, inhibition and poor efficiency can affect assay
sensitivity, leading to a smaller dynamic range and
decreased versatility (Figure 32).
Determining if efficiency is skewed
As mentioned earlier, the best method for determining
whether a particular assay is inefficient is to generate a
standard curve of template diluted over the range of what
will be encountered with the unknown samples and look at
the efficiency over that range. It should be as close to 100%
as possible.
5
A dissociation curve or gel showing multiple peaks or
products means there is a competition for reaction
resources that almost certainly will have an effect on the
reaction efficiency.
Resolving poor efficiency or inhibition
Once it has been determined that the reaction is inhibited
or is operating with poor efficiency, there are some steps
that can be taken to bring the efficiency value back into the
desirable range.
1. For inhibition, those wells with the highest
concentration of template can be removed and the
standard curve reanalyzed. If the efficiency improves
back to under 110%, the assay is fine. Just keep
in mind that any concentrations removed from the
standard curve may not be used during the actual
assay.
2. Another solution involves re-purifying the template.
Remember to allow extra drying time to remove
54
6.
In some cases, issues that appear to be reaction-related
may in fact be software-related. Validating and/or
optimizing software settings can often bring results back
in line with expectations.
Software analysis settings
As mentioned, there are cases in which the instrument
analysis may be masking an otherwise successful assay.
Analysis settings that play the largest role in data accuracy
are:
•
•
•
•
Amplification curve baseline linearity
Baseline range settings
Threshold
Reference dyes
The amplification curve baseline linearity is one parameter
that can affect results. The instrument software is usually
good at automatically setting the baseline within the flat
portion of the curve. However, in cases where a very early
Ct is observed, such as in cases where 18S rRNA is used
as a normalizer, the baseline can mistakenly be placed
to include a region that is no longer flat. Figure 33 shows
the same plot with different baseline settings. Figure 33A
shows a plot with a baseline that spans cycles 1 through 14,
which is too wide because fluorescence is detected as early
as cycle 10. The result is a curve that dips down and pushes
the Ct later. Figure 34 shows the baseline reset to the linear
Troubleshooting
B
A
Figure 33. Amplification plots showing an incorrectly set baseline (A) and a correctly set baseline (B).
range of cycles 2 through 8 and returns the curve and Ct to
their accurate locations.
Baseline range settings are not often considered but
can have an effect on the reaction efficiency. As shown in
Figure 35 , the instrument default settings are more often
than not acceptable for a given assay. However, manual
adjustment can sometimes improve results even further. The threshold (the level of fluorescence deemed above
background and used to determine Ct) is another parameter
set automatically by the software, but one that may also be
manually adjusted (Figure 36).
A
B
When evaluating more than one kit or chemistry on the
same run, the following situation can often occur. The
software will automatically select a threshold that is ideal
for the curves with the higher plateau (the blue plots in
Figure 35). This would bias the Ct values for the red plots
in that data set because the ideal threshold is much lower.
Therefore, each data set should be studied independently
so that the ideal threshold may be selected for each
situation.
C
5
D
E
F
Figure 34. Comparison of baseline setting methods to achieve acceptable reaction efficiencies. (A and D) The baseline in these plots is manually set
very wide and the slope of the standard curve is poor—only –2.81, which is well outside the preferred range of –3.58 to –3.10 (corresponding to 90–110%
efficiency). (C and F) Here we see the same curves as in panels A and D but with a baseline that the instrument automatically chose. The slope is now
inside the ideal window and the assay is now validated across this dynamic range. (B and E) These plots were manually adjusted to have the baseline
incorporate 4 to 5 additional cycles, and the slope improved even further to nearly 100% efficiency.
lifetechnologies.com
55
Troubleshooting
Again, while the default settings are often very appropriate,
the threshold can be manually dragged to the middle of the
exponential phase for greater accuracy if needed.
Standard curve dynamic range validation determines
what template concentrations are acceptable in a given
assay. Concentrations from the high and/or low ends
of a standard curve can also be removed to improve the
efficiency of a reaction, as long as those concentrations are
never employed during the actual assay (Figure 36).
In general, it is OK to push the limits of detection from
very high template to very low template, knowing that
terminal data points can always be removed if efficiency is
compromised.
Employing reference dyes such as ROX™ dye and
fluorescein is a powerful method of insulating against
some instrument- and user-related errors. It has become
so common that this “behind-the-scenes” factor is often
forgotten or assumed not to have a negative impact on
a reaction. However, it is important to understand the
relationship between the instrument software and the dye
itself.
Figure 35. Log plot screen shot showing an example of two sets of
curves with differing plateau heights and therefore different exponential phases. The most accurate portion of an amplification curve for Ct
determination is directly in the middle of the exponential phase when
viewing the log plot. The ideal threshold setting is sometimes unique for
each set of data.
For instruments that employ a reference dye, the software
reports the fluorscence signal at Rn (normalized reporter
value), which is the reporter dye signal divided by the
reference dye signal. Therefore, if the level of ROX™ dye,
for example, is too high, it can result in very poor target
signal returns, which manifest as jagged and inconsistent
amplification plots (Figure 37).
5
56
Visually, it seems as if the reaction failed and much
optimization is necessary, but where to start? If the ROX™
dye channel is switched off as the normalizer and data are
reanalyzed, it can be seen that the data are actually just
fine (Figure 37B); it is a reference dye normalization issue.
Along the same lines, if a mix was used that did not have
ROX™, it is important to make sure that the reference dye
option in the software is set to None for the analysis.
As mentioned, the default instrument software settings
are fine in most situations. However, verification of these
settings can increase confidence in data accuracy. Ensure
that the baseline chosen by the software is only in the
flat range of the amplification curve, and increase or
decrease the baseline range as necessary. Look at the
amplification curves in the log plot view and verify that the
threshold is set near the middle of the exponential phase
of the curve. Adjust the y-axis to be appropriately scaled
for the fluorescence plateau intensity, and keep in mind
that outliers and whole dilution sets may be removed from
the standard curve to improve efficiency and R2 values (as
long as those dilutions will not be used when evaluating the
“unknown” samples).
Figure 36. Improvement of standard curve slope achieved by excluding
outlier data. Amplification was performed on a dilution series over 5
orders of magnitude. Across this range, the slope is only –2.9, which is
outside the desired efficiency window. The curves represented by the
lower panels have had the highest dilutions omitted from the standard
curve, and the efficiency reanalyzed. The slope has improved to –3.1,
which is considered efficient enough to validate the assay.
Troubleshooting
A
B
Figure 37. Correction for reference dye. (A) A high level of a passive reference dye such as ROX™ can lead to poor target signal returns. (B) Once the signal
from ROX™ dye is removed from the analysis, the target signals fall within the expected range.
Lastly, keep in mind that threshold settings need to be
identical for a particular assay when comparing across a
data set.
Troubleshooting is an inevitable aspect of real-time PCR
assay validation and employment. However, by categorizing
and understanding the key issues, this can be a relatively
simple process:
• Ensure that primer-dimers are not contributing to
signal or poor reaction efficiency
• Take the steps necessary to maintain primer and
probe stability
• Make standard curve validation the final step in the
reaction assessment process
• Understand that efficiencies below 90% will be
addressed very differently from values above 110%
• Verify and adjust instrument analysis settings as
necessary
No amplification
One final problem that may occur is a complete lack of
amplification using a given assay. Once you verify that all
the steps above have been addressed, other sources of
no amplification include: low expression, problems with
reverse transcription, or assay design.
Problems with low expression
The common cDNA input for gene expression is 1 to 100
ng, but if your gene of interest is of low abundance in the
sample then you may need to use more. Test a range of
input, or ideally, run against a positive control sample to
confirm that the assay is functioning properly. If you are
not sure about the expected level of expression, check
the literature, or the NCBI Unigene database for the EST
expression data that can give you an estimate of expected
levels in different tissues.
Problems with reverse transcription
Related to low expression, if the gene of interest is of low
abundance in your sample, you may need to increase the
sensitivity of your assay. Check that you are not overloading
your qPCR reaction with too much cDNA (max load is 20%
v/v), as this can introduce inhibitors into the reaction and
thus reduce the efficiency. You can also check the type of
reverse transcriptase and primers being used. Random
primers typically yield more cDNA than oligo(dT)-based
methods. Additionally, some enzymes, such as SuperScript® III Reverse Transcriptase, have been engineered to
be more thermostable, which will also increase your yield.
Check your reaction components to see if any of these
elements can be optimized to improve amplification.
Problems with assay design
If you are not seeing any amplification with the assay, it is
possible that the primer/probe is not designed to the right
target. Check sequence databases such as NCBI for variants of the gene of interest. It is possible that the assay is
designed to only one variant, which may not be expressed in
the samples being studied. Also check where the primers/
probe are targeting along the sequence. Is it in a coding
region or intron? Assays targeting the 5’ UTR of a gene,
for example, will not detect an exogenous gene target from
a transfected cell (since the UTR region would not have
been included in the plasmid for transfection). Likewise,
an assay sitting within an intron sequence will not amplify
with a cDNA sample.
lifetechnologies.com
5
57
Troubleshooting
5
58
Troubleshooting
5.2 Frequently asked questions
Q: How many copies are in a given amount of human
genomic DNA?
Q: Can I compare Ct values of PCR reactions with different
efficiencies?
A: 1 genome copy = 3 x 109 bp
A: You should not compare Ct values of PCR reactions
with different efficiencies, because the ΔΔCt calculation
method works on the assumption that PCR efficiencies
are comparable. This is why you should optimize your
system before trying to quantify unknown samples. The
standard curve method of comparative quantification
with efficiency correction can be employed.
1 bp = 618 g/mol
1 genome copy = (3 x 109 bp) x (618 g/mol/bp)
= 1.85 x 1012 g/mol = (1.85 x 1012 g/mol) x (1 mole/6.02 x
1023 [Avogadro’s number])
= 3.08 x 10-12 g
Each somatic cell has 6.16 pg of DNA (sperm and
egg cells have 3.08 pg). There is one copy of every
non-repeated sequence per 3.08 pg of human DNA.
Therefore, 100 ng of genomic DNA would have:
(100,000 pg of DNA)/3.08 pg = ~33,000 copies; 1 ng of
DNA has 330 copies.
Q: Why do I have to be concerned about the efficiency of
my real-time PCR assay?
A: If you want to compare the expression levels of two
genes (for example, in cases where a normalizer gene
is employed), you need to know something about the
efficiencies of the PCR to confirm that the Ct values you
are observing are not being influenced by contaminants
in the PCR reagents or are not arising from a poorly
optimized assay.
Q: I have found that my more concentrated template
samples give me less efficient amplification curves:
Dilute sample gives a slope of –3.4 and an R2 value of
0.99; concentrated sample gives a slope of –2.5 and an
R2 value 0.84. Why?
A: Something in your sample is inhibiting the PCR. The
reason you get better efficiency with the more diluted
samples is because the inhibitor (salt or some other
component) has been diluted below its inhibitory effect.
Here are some references that explain this:
• Ramakers C, Ruijter JM, Deprez RH et al. (2003)
Assumption-free analysis of quantitative real-time
polymerase chain reaction (PCR) data. Neurosci Lett
339:62–66.
• Liu W and Saint DA (2002) A new quantitative method
of real time reverse transcription polymerase chain
reaction assay based on simulation of polymerase
chain reaction kinetics. Anal Biochem 302:52–59.
• Bar T, Ståhlberg A, Muszta A et al. (2003) Kinetic
outlier detection (KOD) in real-time PCR. Nucleic
Acids Res 31:e105.
Q: What are quenchers, and why are they used in realtime PCR?
A: Quenchers are moieties attached to primers or
probes so that they can quench the emission from
a fluorophore that is also attached to that primer or
probe. Quenchers are generally used in probe-based
assays to extinguish or change the wavelength of the
fluorescence emitted by the fluorophore when both
are attached to the same oligo. They usually do this by
fluorescence resonance energy transfer (FRET). When
the fluorophore gets excited it passes on the energy
to the quencher, which emits the light at a different
(higher) wavelength. Common quenchers are TAMRA™
dye, or non-fluorescent quenchers such as MGB-NFQ,
QSY®, or Black Hole Quencher® dyes.
Q: When would I use one-step as opposed to two-step
qRT-PCR?
A: Two-step qRT-PCR is popular and useful for detecting
multiple messages from a single RNA sample. It also
allows the archiving of cDNA for further analysis.
However, one-step qRT-PCR is easier to use when
processing large numbers of samples and helps
minimize carryover contamination, since tubes do
not need to be opened between cDNA synthesis
and amplification. Since the entire cDNA sample is
amplified, one-step qRT-PCR can provide greater
sensitivity, down to 0.1 pg total RNA.
5
Q: What is MGB-NFQ? What is the benefit of it as a
quencher?
A: MGB-NFQ stands for Minor Groove Binder-NonFluorescent Quencher. The MGB moiety increases the
Tm of the probe, thus allowing for the design of shorter,
more specific probes. In general, the TaqMan® MGB
probes exhibit great differences in Tm values between
matched and mismatched probes, which enables more
accurate allelic discrimination and makes for a more
sensitive real-time PCR assay.
lifetechnologies.com
59
Advanced topics: digital PCR
6
Advanced topics: digital PCR
6.1
Digital PCR
62
6.2
Digital PCR attributes
64
6.3
Digital PCR applications
65
6.3
Beginning a digital PCR experiment
68
6
lifetechnologies.com
61
Advanced topics
6.1 Digital PCR
Digital PCR compared to traditional
real-time PCR
Digital PCR employs the same primer sets, fluorescent
labels, and enzymatic reagents as traditional real-time
PCR. TaqMan® Assays are ideally suited to perform
digital PCR; however, SYBR® Green dye has demonstrated
compatibility. The primary difference between real-time
PCR and digital PCR is that in digital PCR, a sample is
partitioned into thousands of individual PCR reactions—
in essence generating a limiting dilution. Other key
differences are detailed in Table 1. In contrast to realtime PCR, digital PCR offers a highly precise and sensitive
approach without the need for a reference or standard
curve. These key attributes are driven by the number of
partitions and volume sampled in the digital PCR reaction.
The QuantStudio® 3D Digital PCR System leverages a chipbased technology, optimally partitioning a standard PCR
reaction mix into 20,000 individual PCR reactions. Upfront
sample dilution ensures that a portion of these partitions
contain the target molecule, while other partitions do not,
leading to positive and negative reactions, respectively.
Following amplification on a dual flat-block thermal cycler,
the fraction of negative reactions is used to generate an
absolute count of the number of target molecules in the
sample, all without reference to standards or controls
(Figure 38). Figure 39 shows the basic procedure used in
digital PCR.
Target quantification in digital PCR
Quantification by digital PCR is achieved using fairly simple
statistical analysis. Since each reaction is expected to
contain zero, one, or a few molecules, the ratio of positive and
negative signals will follow a classical Poisson distribution.
For example, if you have a viral DNA sample and a digital
PCR reagent mixture that contains 20,000 copies of your
viral target, and you split the mixture into 20,000 partitions,
mathematically you would expect to have approximately 1
copy in each reaction. Of course, by chance, there would be
a significant number of reactions that contain zero, two, or
more than two copies—the probability of these outcomes is
described by the Poisson model.
Figure 38 shows the Poisson distribution model. Continuing
with our example, if 20% of the 20,000 digital PCR reactions
gave a negative signal, the number of target copies in each
can be identified by finding 20% on the x-axis and identifying
the corresponding average copies per reaction based on
the dashed line on the graph. In this example, the result
is 1.59 copies/reaction. Since the calculation is based on a
percentage, the answer will be the same regardless of the
number of reactions. The difference, however, is that with
more reactions, the confidence interval is narrower so the
statistical reliability of the data is improved.
6
Figure 38. QuantStudio® 3D Digital PCR 20K Chip. Each chip is designed with 48 subarrays x 64 through-holes/subarray. Hydrophilic and hydrophobic
coatings on plates enable reagents to stay in the bottomless through-holes via capillary action.
62
Advanced topics: digital PCR
Prepare sample
Partition sample
Amplify DNA
Derive answer
Copies/µL
Sample partitioned
into many reactions
Positive reactions
Negative reactions
Figure 39. Digital PCR employs a simple workflow and uses familiar techniques.
Output from experiment
Conventional qPCR
Digital PCR
Ct, ΔCt, or ΔΔCt
Copies per µL
Quantification
Relative quantification
Absolute quantification
Results can be affected by the:
Detection chemistry (e.g., TaqMan® Assays or
SYBR® Green dyes)
Results are not affected by any of these
factors
Real-time PCR instrument used
Amplification efficiency of PCR primers/probe
Table 1. Comparison of conventional qPCR to digital PCR.
6
Figure 40. Poisson equation used to calculate target quantity from digital PCR data.
lifetechnologies.com
63
Advanced topics
6.2 Digital PCR attributes
Detection of low levels of pathogen
Digital PCR extends the performance of TaqMan® Assays
by enabling additional attributes that go beyond the limits
of real-time PCR. These attributes represent three main
categories­—increased precision, increased sensitivity, and
increased specificity with the ability to perform absolute
quantification without a standard curve.
How does digital PCR manage this extra sensitivity,
specificity, and precision?
Sensitivity is driven by total volume interrogated. It’s
actually not that different from real-time PCR; however,
digital PCR yields a statistical perspective via its large
number of replicates for the target, giving greater visibility
to whether or not you are able to detect the target of
interest. Imagine a container full of balls (Figure 41). The
chances that you capture a particular ball of interest from
the container is increased with the greater amount of balls
taken out of the container.
Specificity is driven by the assay and number of replicates
run. By individualizing the reaction, digital PCR enables
us to extend the performance of current TaqMan® realtime PCR assays in order to drive additional specificity.
For example, a sample containing 99 wild type molecules
and 1 mutant equates to the mutation being present at 1
in 100 or 1%. Using TaqMan® SNP Genotyping Assays in
standard real-time PCR mode, the single mutant is lost in
a sea of wild type copies (Figure 42A). By first partitioning
the sample, competing wild type sequences in any
reaction containing a mutant are reduced, effectively
decreasing background noise. If sufficient partitions are
used, the reaction wells reach a point where the wild type
signal no longer overwhelms the mutant signal. In the
example in Figure 42B, dividing our sample into twenty
digital partitions reduces the sample complexity within
each partition to 1 in 5 or 20%—theoretically a twenty-fold
improvement compared to the starting sample.
6
64
Precision is driven by the number of replicates that are run.
Increasing replicates increases the statistical significance
of your answer, thereby giving more confidence that the
value determined represents the actual target quantity in
the sample. For maximum precision, the percentage of
negative reactions should be targeted between 5% and 80%.
Figure 41. The Poisson principle assumes an appropriate volume of
the total pool is sampled. Increasing the amount sampled from the
total pool increases the ability to accurately determine the number of
targets.
A
B
1:5
Partitions
Figure 42. By individualizing the reaction, digital PCR extends the
performance of current TaqMan® real-time PCR assays in order to
drive additional specificity.
Advanced topics: digital PCR
6.3 Digital PCR applications
Precise copy number variation
Copy number variation (CNV) is defined as a modification in
the genome where the number of copies of a genomic DNA
sequence differs from a reference or standard. Genomic
alterations such as insertions, deletions, inversions, or
translocations can lead to biallelic or multiallelic CNVs.
CNVs are linked to susceptibility or resistance to disease,
and thus are an important area for detailed study. Many
methods of CNV detection exist today, including fluorescent
in situ hybridization (FISH), comparative genomic hybridization (CGH), array comparative genomic hybridization (aCGH),
real-time PCR (qPCR), and next-generation sequencing
(NGS).
Despite advances in some of these technologies, in many
cases, measurements are not sufficiently precise for
determining copy number differences where the ratios
between the target and reference are very small. Digital
PCR, a technology capable of highly precise measure-
ments, enables low-percent copy number differences to be
detected and accurately quantified.
A representative panel of 9 genomic DNA samples, procured
from the Coriell repository, was analyzed using the QuantStudio® 3D system and a standard TaqMan® Copy Number
Assay specific to the CCL3L1 genetic locus found on the long
arm of chromosome 17, 6, or 8. Replicate measurements
indicated that the samples represent copy number variations from 0 to 8 copies per genome (Figure 43A). A statistically significant difference between samples containing 7
and 8 copies was clearly discernable as a result of the high
degree of precision achieved, confirming that digital PCR
can differentiate less than a 1.2-fold difference (Figure 43B).
Rare-allele detection
Rare mutation detection has great implications in areas
such as cancer research because the accumulation of
mutations in crucial regulatory genes, such as oncogenes
A
Sample
Number of
replicates
Expected copy
number
Detected copy
number (mean)
Standard
deviation
NA17245
6
0
0.08
0.06
N/A
NA17251
6
1
0.98
0.02
2.21
NA17258
6
2
1.96
0.05
2.47
NA17132
6
3
2.98
0.06
1.85
NA19194
8
4
4.00
0.05
1.22
NA18507
8
5
5.11
0.13
2.50
NA17110
8
6
5.91
0.12
2.07
NA17202
8
7
7.02
0.07
1.02
NA18854
8
8
7.95
0.20
2.55
CV (%)
B
9
Copy number
8
7
6
5
6
4
3
2
4
88
5
2
A1
N
72
0
0
A1
N
71
1
7
A1
N
85
0
4
A1
N
91
9
2
A1
N
71
3
8
A1
N
1
72
5
A1
72
5
N
A1
A1
N
N
0
72
4
0
5
1
Samples
Figure 43. Precision demonstrated for copy number analysis of the CCL3L1 genetic locus on chromosome 17. (A) Copy number was measured across
9 DNA samples. The CV (column 6) was below 2.6% for each set of replicates, demonstrating a high degree of measurement reproducibility within
each replicate group. (B) As demonstrated by non-overlapping error bars, the achieved measurement precision enables statistical discernment of the
CCL3L1 copy number in samples containing 7 and 8 copies.
lifetechnologies.com
65
Advanced topics
Since these mutations are so rare, they require an assay
that delivers high signal-to-noise and low false-positiveto-false-negative rates.
Common SNP genotyping technologies, such as capillary
electrophoresis (CE) sequencing and real-time PCR, are
most effective at detecting mutant cells with a prevalence
no lower than about 20% (or approximately 1 in 5 cells). By
combining real-time PCR chemistries, such as TaqMan®
Assays, with digital PCR methodology, researchers are now
able to detect mutant cell prevalence down to 1%—and
below (Figure 44).
Digital PCR works by partitioning a sample into many individual reactions prior to amplification, reducing competing
wild type sequences in any reaction containing a mutation
and effectively decreasing background noise. If sufficient
partitions are used, the reaction wells reach a point where
the wild type signal no longer overwhelms the mutant
signal. Because each data point is generated digitally, the
total count of each allele, mutant and wild type, can be
calculated and a ratio determined (Figure 45).
100
Concentration measured (%)
or tumor suppressor genes, is an important aspect of
tumorigenesis. Acquisition of these mutations in a tiny
subset of somatic cells can be sufficient for cancer initiation or progression.
y = 1.1006x + 0.0436
R2 = 0.9968
10
1
0.1
0.01
0.01
0.1
1
10
Concentration input (%)
Figure 44. Rare allele measurement using spike-recovery method.
Differing amounts of DNA from three different oncogenic KRAS alleles
were spiked into a constant amount of normal DNA. Note the excellent
correlation between input concentration and measured concentration;
the linear slope indicates that the amounts of mutant allele were
accurately measured.
Absolute quantification of nextgeneration sequencing libraries
Next-generation sequencing (NGS) libraries can be quantified with minimal sample handling and without the need to
generate a standard curve using digital PCR. This method
enables accurate and precise library quantification, a critical step in both the Ion Torrent™ and other NGS workflows,
allowing for maximizing sequencing yields downstream.
To achieve this high degree of precision, a TaqMan® Assay,
designed to span both the forward and reverse adapters
specific to each library, is available.
6
66
Q7832: Recipient Pre-SCT
Q7823: Donor
Q7938: +25 days
Q7960: +41 days
Q8092: +101 days
Q8133: +118 days
Figure 45. Allelic chimerism in bone marrow transplant samples.
Two alternate alleles that differentiated a bone marrow donor from
a recipient were chosen. Samples were collected pre-stem cell
transplant (pre-SCT) and at the indicated times after transplant. Note
the recipient’s allele starts to reappear after 101 days, and is obvious by
118 days, indicating a relapse.
Advanced topics: digital PCR
A
2.5
Absolute quantification of nucleic acid
standards
Digital PCR does not rely on a reference sample or assay
standard; it can be used for absolute quantification,
measuring the exact copy number of a nucleic acid target
of interest (Figure 46). This capability is especially useful
for calibrating reference samples and assay standards
when none exist. Through direct copy number determination, digitally measured assay standards can enable
laboratories to compare results, with the assurance that
measurements are based on the same absolute baseline.
1.5
1.0
0.5
0
600-A
600-C
600-G
600-T
B
10-6
10-7
10-8
10-9
10
Copies/reaction
Accurate genetic measurements often require comparison
to reference samples and assay standards. Standardization of references is especially important in the field of
metrology. For many organisms or applications, there is
often no suitable reference sample available. Generation
of reference standards using conventional real-time PCR
requires consideration of how the reference sample will
initially be calibrated, its long-term stability, and whether
there is sufficient reference material for completion of
all future studies. In addition, the lack of broadly adopted
standards impacts comparison between laboratories.
2.0
Copies/µL (x1010)
This approach limits quantification to library constructs
that contain both adapter sequences. Ultimately, using
digital PCR to quantify NGS libraries decreases overall
sequencing costs by ensuring an accurate quantification upfront, minimizing the need to re-run or repeat
sequencing of samples. For more information about this
application, go to lifetechnologies.com/dpcrngs
R2 = 0.9991
1
0.1
0.01
0.001
0.0001
10-6
10-7
10-8
Dilution from stock
10-9
Figure 46. Digital PCR precisely and accurately quantifies standards
without the use of a standard curve. (A) Four standards were
measured in duplicate, and results determined in absolute copies per
microliter by digital PCR. The tight error bars demonstrate very high
precision in the measurement of each sample. (B) For sample 600-T,
an additional 10-fold dilution series covering four logs of dilution was
constructed. Copies per reaction for each dilution were calculated
and demonstrate excellent correlation (0.9991), with extremely tight
precision for each dilution.
6
lifetechnologies.com
67
Advanced topics
Low-level fold change of gene expression
Real-time PCR is commonly used to detect differential gene
expression; however, this approach is generally limited to
detecting changes that vary by two-fold or more. For some
studies, detection of expression changes less than twofold may be required. Furthermore, it is often necessary
to express differential gene expression with respect to a
reference gene, such as a housekeeping gene like actin.
In addition, the ability of digital PCR to determine absolute
quantification of a transcript obviates the need for a reference gene. Like real-time PCR, digital PCR requires the
conversion of RNA to cDNA. Since the efficiency of conversion is important to experimental sensitivity, we offer the
High-Capacity cDNA Reverse Transcription Kit, which
seamlessly integrates into your digital PCR gene expression workflow.
With the ability to achieve highly precise measurements of
±10% or better, digital PCR is capable of resolving changes
of two-fold or less (Figure 47).
A
B
100%
–0.8
90%
-1.0
-1.2
∆Ct
–1.4
60%
–1.6
50%
–1.8
Sample
5
m
pl
e
4
e
pl
m
Sa
3
Sa
m
pl
e
2
Sa
e
pl
m
e
1
–2.0
pl
All Pairs
Turkey-Kramer
0.05
m
5
m
pl
e
4
e
pl
m
Sa
3
e
Sa
pl
m
Sa
e
pl
m
Sa
Sa
m
pl
e
1
2
40%
Sa
70%
Sa
RQ
80%
All Pairs
Turkey-Kramer
0.05
Sample
Figure 47. Quantitation precision comparison between digital PCR (A) and real-time qPCR (B). Samples 1 through 5 are mixtures of synthetic miRNAs
hsa-miR-19b and hsa-miR-92 at different ratios: sample 1, 100%; sample 2, 95%; sample 3, 90%; sample 4, 75%; sample 5, 50%. After reverse
transcription, cDNA was measured by qPCR and digital PCR on the QuantStudio® 3D system. ΔCts of qPCR between hsa-miR-19b and hsa-miR-92
were reported for each sample. The relative quantitations for digital PCR results were reported in percentile for each sample. Digital PCR with the
QuantStudio® 3D system is able to discriminate a 5% difference between sample 1 and 2 (indicated by non-overlapping circles by Tukey-Kramer HSD
test), while real-time qPCR was not able to discriminate even a 10% difference between sample 1 and sample 3. Tukey-Kramer HSD test was done
within JMP software with experiment replicates.
6.4 Beginning a digital PCR experiment
6
68
To perform a digital PCR experiment, the sample must
be diluted such that each reaction contains one or zero
molecules. First establish the starting concentration using
a spectrophotometer and convert the ng/µL concentration into copies/µL. Next, use this value to calculate the
volume of sample needed to target 20,000 copies/chip for
each sample. If the target copy number per genome of your
samples is known, dilute the samples so that, when loaded
on a QuantStudio® 3D Digital PCR 20K Chip, each throughhole reaction will contain approximately 0.6 to 1.6 copies of
the target sequence. For example, assuming 3.3 pg/copy of
a given gene are present per genome and a 865 pL reaction well volume, the stock gDNA in a given sample would
be diluted down to 600 copies/μL or 1.98 ng/μL in the final
reaction to give 0.6 copies per reaction well. Refer to the
QuantStudio® 3D Digital PCR System product manual to
learn how to determine target copy number per genome.
Each application has its own set of factors to consider when
setting up a digital PCR experiment. Please refer to the
QuantStudio® 3D Digital PCR System Experimental Design
Guide for more detailed application-specific instructions.
This can be found at lifetechnologies.com/quantstudio3d
or on the community in the digital PCR forum at
lifetechnologies.com/dpcrcommunity.
Find out more at lifetechnologies.com/qpcr
For Research Use Only. Not for use in diagnostic procedures. © 2014 Thermo Fisher Scientific Inc. All rights reserved. All trademarks are the property
of Thermo Fisher Scientific and its subsidiaries unless otherwise specified. TaqMan® and AmpliTaq Gold® are registered trademarks of Roche Molecular
Systems, Inc., used under permission and license. iCycler iQ, iQ, and MyiQ are trademarks or registered trademarks of Bio-Rad Laboratories, Inc.
LightCycler is a registered trademark of Roche Diagnostics GmbH. Rotor-Gene is a registered trademark of Qiagen GmbH. LCGreen is a registered
trademark of Biofire Defense, LLC. EvaGreen is a registered trademark of Biotium, Inc. Black Hole Quencher is a registered trademark of Biosearch
Technologies, Inc. BLAST is a registered trademark of the National Library of Medicine. CO010759 0914